Bibliografie tematiche / Interrupted times series analysis

Letteratura scientifica selezionata sul tema "Interrupted times series analysis"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 1 febbraio 2022

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Articoli di riviste sul tema "Interrupted times series analysis"

McDonald, Terrence, Brendan Lethebe, Alistair McGuire e Lee Green. "Time modifier billing code - an interrupted time series analysis". Canadian Journal of Emergency Nursing 44, n. 2 (20 luglio 2021): 17. http://dx.doi.org/10.29173/cjen137.

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Time modifier billing code: Interrupted time series analysis. Terrence McDonald, Brendan Cord Lethebe, Alistair McGuire, Lee Green Background: Alberta has the highest percentage of fee-for-service Family Physicians in Canada at over 80%. In 2019 as part of a cost containment strategy, the Alberta government proposed a policy change to eliminate the most used fee code that compensates family physicians for extended visit times (16-25 minutes). Optimal length for patient visit times varies throughout the world and countries with health systems that place emphasis on relational continuity demonstrate a trend towards longer appointment times. In Canada, the relationship between visit length and outcomes is not known. Implementation: What would be the likely consequences of eliminating the extended visit code? We examined this question using two different observational methods, to improve confidence in our findings: a retrospective longitudinal cohort (time series) around the time the code was introduced in 2009, and a cross-sectional cohort at current time. We explored the usage patterns of that fee code, its association with the outcomes of emergency department visits and hospitalizations, along with physician billings. Results: We found rates of emergency department visits decreased after the time-modifier code was implemented starting in 2010. This effect was maintained in the years that followed. A similar but less pronounced effect was observed in the hospitalization rates. The cross-sectional analysis had to include an interaction term because family physicians selectively extend visits for patients at risk, but when that is accounted for, the same effect is observed as in longitudinal results. The code was not used ubiquitously among primary care providers, especially in rural areas. Female physicians used it more often. Users use it for an average of 40% of 03.03A office visits. Non-users of the code earned more income than their user-colleagues. Conclusion: We believe our findings will fill an important gap in informing the importance of an extended time service billing code in a fee-for-service system in reducing ED visits and hospitalizations. Advice and Lessons Learned: The fee-for-service time-modifier code, introduced in 2009, resulted in reduced ED visits and hospitalizations. It is likely that discontinuing the code would result in increased ED and hospital utilization, costing much more than removing the code would save. Usage of the time-modifier code was not uniform among primary care. Users of the code had different practice patterns and provider demographics. Our next step is to model the uptake of the code by primary care providers and explore the health system utilization and down-stream costs between users and non-users of the code.

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GEBSKI, V., K. ELLINGSON, J. EDWARDS, J. JERNIGAN e D. KLEINBAUM. "Modelling interrupted time series to evaluate prevention and control of infection in healthcare". Epidemiology and Infection 140, n. 12 (16 febbraio 2012): 2131–41. http://dx.doi.org/10.1017/s0950268812000179.

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SUMMARYThe most common methods for evaluating interventions to reduce the rate of new Staphylococcus aureus (MRSA) infections in hospitals use segmented regression or interrupted time-series analysis. We describe approaches to evaluating interventions introduced in different healthcare units at different times. We compare fitting a segmented Poisson regression in each hospital unit with pooling the individual estimates by inverse variance. An extension of this approach to accommodate potential heterogeneity allows estimates to be calculated from a single statistical model: a ‘stacked’ model. It can be used to ascertain whether transmission rates before the intervention have the same slope in all units, whether the immediate impact of the intervention is the same in all units, and whether transmission rates have the same slope after the intervention. The methods are illustrated by analyses of data from a study at a Veterans Affairs hospital. Both approaches yielded consistent results. Where feasible, a model adjusting for the unit effect should be fitted, or if there is heterogeneity, an analysis incorporating a random effect for units may be appropriate.

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Guan, Xiaodong, Ye Tian, Dennis Ross-Degnan, Chunxia Man e Luwen Shi. "Interrupted time-series analysis of the impact of generic market entry of antineoplastic products in China". BMJ Open 8, n. 7 (luglio 2018): e022328. http://dx.doi.org/10.1136/bmjopen-2018-022328.

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ObjectivesThe rapid growth of pharmaceutical costs is a major healthcare issue all over the world. The high prices of new drugs, especially those for cancer, are also a concern for stakeholders. Generic drugs are a major price-reducing opportunity and provide more societal value. The aim of this research is to analyse the impact of generic entry on the volume and cost of antineoplastic agents in China.MethodsAn interrupted time-series design examined monthly sales of three antineoplastic drugs (capecitabine, decitabine, imatinib) from 699 public hospitals during January 2011 to June 2016. The first generic entry times (December 2013, December 2012, August 2013, respectively) were regarded as the intervention time points. We estimated changes in volume and cost following the generic entry.ResultsWe found that generic entry was associated with increases in the volume of three antineoplastic agents and decreases in their costs. In terms of volume, generic entry was associated with increases in use of capecitabine, decitabine and imatinib by 815.0 (95% CI −66.5 to 1696.5, p>0.05), 11.0 (95% CI 3.7 to 18.3, p=0.004) and 2145.5 (95% CI 1784.1 to 2506.9, p<0.001) units. The entry of generic antineoplastic drugs reduced the monthly cost trend of three agents by ¥3.1 (95% CI −¥3.6 to −¥2.6, p<0.001), ¥84.7 (95% CI −¥104.7 to −¥64.6, p<0.001) and ¥21.3 (95% CI −¥24.2 to −¥18.4, p<0.001), respectively. The entry of generic drugs attenuated the upward trend in volume of three brand-name drugs and even triggered reductions in the volume of brand-name capecitabine. The entry of generics was accompanied by significant increase of ¥2.6 in monthly brand-name decitabine cost (95% CI ¥0.2 to ¥5.1, p=0.04).ConclusionOur findings suggested that entry of generic drugs impacted use and cost of antineoplastic medicines in China. Generic drugs may improve the availability and the affordability of antineoplastic agents, which would benefit more patients.

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Holmes, John, Emma Beard, Jamie Brown, Alan Brennan, Inge Kersbergen, Petra S. Meier, Susan Michie, Abigail K. Stevely e Penny Buykx. "The impact of promoting revised UK low-risk drinking guidelines on alcohol consumption: interrupted time series analysis". Public Health Research 8, n. 14 (ottobre 2020): 1–108. http://dx.doi.org/10.3310/phr08140.

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Background The UK’s Chief Medical Officers revised the UK alcohol drinking guidelines in 2016 to ≤ 14 units per week (1 unit = 10 ml/8 g ethanol) for men and women. Previously, the guideline stated that men should not regularly consume more than 3–4 units per day and women should not regularly consume more than 2–3 units per day. Objective To evaluate the impact of promoting revised UK drinking guidelines on alcohol consumption. Design Interrupted time series analysis of observational data. Setting England, March 2014 to October 2017. Participants A total of 74,388 adults aged ≥ 16 years living in private households in England. Interventions Promotion of revised UK low-risk drinking guidelines. Main outcome measures Primary outcome – alcohol consumption measured by the Alcohol Use Disorders Identification Test – Consumption score. Secondary outcomes – average weekly consumption measured using graduated frequency, monthly alcohol consumption per capita adult (aged ≥ 16 years) derived from taxation data, monthly number of hospitalisations for alcohol poisoning (International Statistical Classification of Diseases and Related Health Problems, Tenth Revision: T51.0, T51.1 and T51.9) and assault (International Statistical Classification of Diseases and Related Health Problems, Tenth Revision: X85–Y09), and further measures of influences on behaviour change. Data sources The Alcohol Toolkit Study, a monthly cross-sectional survey and NHS Digital’s Hospital Episode Statistics. Results The revised drinking guidelines were not subject to large-scale promotion after the initial January 2016 announcement. An analysis of news reports found that mentions of the guidelines were mostly factual, and spiked during January 2016. In December 2015, the modelled average Alcohol Use Disorders Identification Test – Consumption score was 2.719 out of 12.000 and was decreasing by 0.003 each month. After the January 2016 announcement, Alcohol Use Disorders Identification Test – Consumption scores did not decrease significantly (β = 0.001, 95% confidence interval –0.079 to 0.099). However, the trend did change significantly such that scores subsequently increased by 0.005 each month (β = 0.008, 95% confidence interval 0.001 to 0.015). This change is equivalent to 0.5% of the population moving each month from drinking two or three times per week to drinking four or more times per week. Secondary analyses indicated that the change in trend began 6 months before the guideline announcement. The secondary outcome measures showed conflicting results, with no significant changes in consumption measures and no substantial changes in influences on behaviour change, but immediate reductions in hospitalisations of 7.3% for assaults and 15.4% for alcohol poisonings. Limitations The pre-intervention data collection period was only 2 months for influences on behaviour change and the graduated frequency measure. Our conclusions may be generalisable only to scenarios in which guidelines are announced but not promoted. Conclusions The announcement of revised UK low-risk drinking guidelines was not associated with clearly detectable changes in drinking behaviour. Observed reductions in alcohol-related hospitalisations are unlikely to be attributable to the revised guidelines. Promotion of the guidelines may have been prevented by opposition to the revised guidelines from the government's alcohol industry partners or because reduction in alcohol consumption was not a government priority or because practical obstacles prevented independent public health organisations from promoting the guidelines. Additional barriers to the effectiveness of guidelines may include low public understanding and a need for guidelines to engage more with how drinkers respond to and use them in practice. Trial registration Current Controlled Trials ISRCTN15189062. Funding This project was funded by the National Institute for Health Research (NIHR) Public Health Research programme and will be published in full in Public Health Research; Vol. 8, No. 14. See the NIHR Journals Library website for further project information.

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Tao, Liyuan, Chen Zhang, Lin Zeng, Shengrong Zhu, Nan Li, Wei Li, Hua Zhang, Yiming Zhao, Siyan Zhan e Hong Ji. "Accuracy and Effects of Clinical Decision Support Systems Integrated With BMJ Best Practice–Aided Diagnosis: Interrupted Time Series Study". JMIR Medical Informatics 8, n. 1 (20 gennaio 2020): e16912. http://dx.doi.org/10.2196/16912.

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Background Clinical decision support systems (CDSS) are an integral component of health information technologies and can assist disease interpretation, diagnosis, treatment, and prognosis. However, the utility of CDSS in the clinic remains controversial. Objective The aim is to assess the effects of CDSS integrated with British Medical Journal (BMJ) Best Practice–aided diagnosis in real-world research. Methods This was a retrospective, longitudinal observational study using routinely collected clinical diagnosis data from electronic medical records. A total of 34,113 hospitalized patient records were successively selected from December 2016 to February 2019 in six clinical departments. The diagnostic accuracy of the CDSS was verified before its implementation. A self-controlled comparison was then applied to detect the effects of CDSS implementation. Multivariable logistic regression and single-group interrupted time series analysis were used to explore the effects of CDSS. The sensitivity analysis was conducted using the subgroup data from January 2018 to February 2019. Results The total accuracy rates of the recommended diagnosis from CDSS were 75.46% in the first-rank diagnosis, 83.94% in the top-2 diagnosis, and 87.53% in the top-3 diagnosis in the data before CDSS implementation. Higher consistency was observed between admission and discharge diagnoses, shorter confirmed diagnosis times, and shorter hospitalization days after the CDSS implementation (all P<.001). Multivariable logistic regression analysis showed that the consistency rates after CDSS implementation (OR 1.078, 95% CI 1.015-1.144) and the proportion of hospitalization time 7 days or less (OR 1.688, 95% CI 1.592-1.789) both increased. The interrupted time series analysis showed that the consistency rates significantly increased by 6.722% (95% CI 2.433%-11.012%, P=.002) after CDSS implementation. The proportion of hospitalization time 7 days or less significantly increased by 7.837% (95% CI 1.798%-13.876%, P=.01). Similar results were obtained in the subgroup analysis. Conclusions The CDSS integrated with BMJ Best Practice improved the accuracy of clinicians’ diagnoses. Shorter confirmed diagnosis times and hospitalization days were also found to be associated with CDSS implementation in retrospective real-world studies. These findings highlight the utility of artificial intelligence-based CDSS to improve diagnosis efficiency, but these results require confirmation in future randomized controlled trials.

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Knowles, Emma, Neil Shephard, Tony Stone, Lindsey Bishop-Edwards, Enid Hirst, Linda Abouzeid, Suzanne Mason e Jon Nicholl. "Closing five Emergency Departments in England between 2009 and 2011: the closED controlled interrupted time-series analysis". Health Services and Delivery Research 6, n. 27 (luglio 2018): 1–234. http://dx.doi.org/10.3310/hsdr06270.

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BackgroundIn recent years, a number of emergency departments (EDs) have closed or have been replaced by another facility such as an urgent care centre. With further reorganisation of EDs expected, this study aimed to provide research evidence to inform the public, the NHS and policy-makers when considering local closures.ObjectiveTo understand the impact of ED closures/downgrades on populations and emergency care providers.DesignA controlled interrupted time series of monthly data to assess changes in the patterns of mortality in local populations and changes in local emergency care service activity and performance, following the closure of type 1 EDs.SettingThe populations of interest were in the resident catchment areas of five EDs that closed between 2009 and 2011 (in Newark, Hemel Hempstead, Bishop Auckland, Hartlepool and Rochdale) and of five control areas.Main outcome measuresThe primary outcome measures were ambulance service incident volumes and times, the number of emergency and urgent care attendances at EDs, the number of emergency hospital admissions, mortality, and case fatality ratios.Data sourcesData were sourced from the Office for National Statistics, Hospital Episode Statistics (HES) accident and emergency, HES admitted patient care and ambulance service computer-aided dispatch records.ResultsThere was significant heterogeneity among sites in the results for most of the outcome measures, but the overall findings were as follows: there is evidence of an increase, on average, in the total number of incidents attended by an ambulance following 999 calls, and those categorised as potentially serious emergency incidents; there is no statistically reliable evidence of changes in the number of attendances at emergency or urgent care services or emergency hospital admissions; there is no statistically reliable evidence of any change in the number of deaths from a set of emergency conditions following the ED closure in any site, although, on average, there was a small increase in an indicator of the ‘risk of death’ in the closure areas compared with the control areas.LimitationsUnavailable or unreliable data hindered some of the analysis regarding ED and ambulance service performance.ConclusionsOverall, across the five areas studied, there was no statistically reliable evidence that the reorganisation of emergency care was associated with an increase in population mortality. This suggests that any negative effects caused by increased journey time to the ED can be offset by other factors; for example, if other new services are introduced and care becomes more effective than it used to be, or if the care received at the now-nearest hospital is more effective than that provided at the hospital where the ED closed. However, there may be implications of reorganisation for NHS emergency care providers, with ambulance services appearing to experience a greater burden.Future workUnderstanding why effects vary between sites is necessary. It is also necessary to understand the impact on patient experience. Economic evaluation to understand the cost implications of such reorganisation is also desirable.FundingThe National Institute for Health Research Health Services and Delivery Research programme.

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Innes, G., J. Marsden, D. Kalla, R. Stenstrom e E. Grafstein. "MP017: Impact of physician payment mechanism on wait times and ED length of stay". CJEM 18, S1 (maggio 2016): S72. http://dx.doi.org/10.1017/cem.2016.158.

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Introduction: Vancouver Coastal Health (VCH) emergency physicians have been on contract based funding models for two decades. On October 1, 2015, physicians at one hospital (SPH) switched to fee-for-service (FFS) payments. Conventional wisdom is that FFS physicians are motivated to see more patients quickly and achieve higher throughput. Our hypothesis was that FFS payment would reduce patient wait times. Methods: This interrupted time series analysis with concurrent control was performed in VCH Region, where there are two tertiary EDs. During the 20-week study period (July 15-Nov 30), VGH remained on contract, while SPH converted to FFS (the intervention). VCH administrative data was aggregated by week. Our primary outcome was median wait time to MD. Secondary outcomes were ED LOS and left-without-being-seen (LWBS) rates. Results: Interrupted time series plots will be presented for the data. Data from 67,214 ED visits were analyzed (31,733 SPH, 35,481 VGH). Figure 1 shows that baseline wait time was 74 minutes at the control and 53 minutes at the intervention site. During the pre-intervention period, there was a non-significant downward trend of 0.4 minutes per week at the intervention hospital relative to control (p=0.26). After FFS conversion, there was a 4.1 minute increase in wait time at the control site (p=0.18), and a significant downward trend of 1.4 minutes per week (p=0.001). After FFS conversion, wait times at the intervention site increased by 4.8 minutes more than control (p-value for the difference=0.27), and the wait time trend increased significantly by 1.3 minutes per week relative to the expected counterfactual trend (p=0.02). Baseline EDLOS for discharged patients was 227 minutes at the control hospital and 193 minutes at the intervention site. There were similar pre-intervention LOS increases at both hospitals. Post-intervention, both sites saw significant increases in EDLOS, followed by a similar downward trends of -2.68 minutes per week (p=0.001). Baseline LWBS rate was 3.86% at the control hospital and 3.56% at the intervention site. Pre-intervention trends, and post-intervention level/trend changes did not differ by site. Conclusion: Conversion to FFS payment was associated with an increase in wait time trend of 1.3 minutes per week relative to control. There were no significant changes in EDLOS or LWBS rates. In this preliminary analysis, FFS payment had little effect on wait times or patient throughput.

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Evdokimova, Ekaterina, Sabine Wittevrongel e Dieter Fiems. "A Taylor Series Approach for Service-Coupled Queueing Systems with Intermediate Load". Mathematical Problems in Engineering 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/3298605.

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This paper investigates the performance of a queueing model with multiple finite queues and a single server. Departures from the queues are synchronised or coupled which means that a service completion leads to a departure in every queue and that service is temporarily interrupted whenever any of the queues is empty. We focus on the numerical analysis of this queueing model in a Markovian setting: the arrivals in the different queues constitute Poisson processes and the service times are exponentially distributed. Taking into account the state space explosion problem associated with multidimensional Markov processes, we calculate the terms in the series expansion in the service rate of the stationary distribution of the Markov chain as well as various performance measures when the system is (i) overloaded and (ii) under intermediate load. Our numerical results reveal that, by calculating the series expansions of performance measures around a few service rates, we get accurate estimates of various performance measures once the load is above 40% to 50%.

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Harada, Yukinori, e Taro Shimizu. "Impact of a Commercial Artificial Intelligence–Driven Patient Self-Assessment Solution on Waiting Times at General Internal Medicine Outpatient Departments: Retrospective Study". JMIR Medical Informatics 8, n. 8 (31 agosto 2020): e21056. http://dx.doi.org/10.2196/21056.

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Background Patient waiting time at outpatient departments is directly related to patient satisfaction and quality of care, particularly in patients visiting the general internal medicine outpatient departments for the first time. Moreover, reducing wait time from arrival in the clinic to the initiation of an examination is key to reducing patients’ anxiety. The use of automated medical history–taking systems in general internal medicine outpatient departments is a promising strategy to reduce waiting times. Recently, Ubie Inc in Japan developed AI Monshin, an artificial intelligence–based, automated medical history–taking system for general internal medicine outpatient departments. Objective We hypothesized that replacing the use of handwritten self-administered questionnaires with the use of AI Monshin would reduce waiting times in general internal medicine outpatient departments. Therefore, we conducted this study to examine whether the use of AI Monshin reduced patient waiting times. Methods We retrospectively analyzed the waiting times of patients visiting the general internal medicine outpatient department at a Japanese community hospital without an appointment from April 2017 to April 2020. AI Monshin was implemented in April 2019. We compared the median waiting time before and after implementation by conducting an interrupted time-series analysis of the median waiting time per month. We also conducted supplementary analyses to explain the main results. Results We analyzed 21,615 visits. The median waiting time after AI Monshin implementation (74.4 minutes, IQR 57.1) was not significantly different from that before AI Monshin implementation (74.3 minutes, IQR 63.7) (P=.12). In the interrupted time-series analysis, the underlying linear time trend (–0.4 minutes per month; P=.06; 95% CI –0.9 to 0.02), level change (40.6 minutes; P=.09; 95% CI –5.8 to 87.0), and slope change (–1.1 minutes per month; P=.16; 95% CI –2.7 to 0.4) were not statistically significant. In a supplemental analysis of data from 9054 of 21,615 visits (41.9%), the median examination time after AI Monshin implementation (6.0 minutes, IQR 5.2) was slightly but significantly longer than that before AI Monshin implementation (5.7 minutes, IQR 5.0) (P=.003). Conclusions The implementation of an artificial intelligence–based, automated medical history–taking system did not reduce waiting time for patients visiting the general internal medicine outpatient department without an appointment, and there was a slight increase in the examination time after implementation; however, the system may have enhanced the quality of care by supporting the optimization of staff assignments.

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Leopold, Christine, Fang Zhang, Aukje K. Mantel-Teeuwisse, Sabine Vogler, Silvia Valkova, Dennis Ross-Degnan e Anita K. Wagner. "Impact of pharmaceutical policy interventions on utilization of antipsychotic medicines in Finland and Portugal in times of economic recession: interrupted time series analyses". International Journal for Equity in Health 13, n. 1 (2014): 53. http://dx.doi.org/10.1186/1475-9276-13-53.

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Tesi sul tema "Interrupted times series analysis"

Prendergast, Tim. "Interrupted Time Series Analysis Techniques in Pharmacovigilance". Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/30291.

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This thesis considers an approach to evaluate the effectiveness of risk communications for prescription drugs by performing interrupted time series analysis of prescription drug volumes prior to and after the risk communication date. The paper presents methods for detecting change in the presence of autocorrelation and techniques to reduce bias in estimation. Statistical results and data plots are presented for 63 data series. Size and power of the statistical techniques are considered, and a correspondence analysis between these statistical techniques and a small group of physicians is performed. The methods considered in this thesis correspond weakly with physician sentiment, and exhibit inflated type I errors in the presence of significant autocorrelation.

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Gerlach, Laura A. "Increasing Organ Donations in Maryland: An Interrupted Time Series Analysis". ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/5707.

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The state of Maryland has been unsuccessful in achieving its goal of registering all of its population as organ donors. The purpose of this correlational study was to understand if allowing registered donors to remain anonymous would increase donor registration rates. The theoretical foundation of this study was the theory of planned behavior. Data were collected from the Motor Vehicle Administration of Maryland and the Division of Motor Vehicle of Virginia. The data were analyzed using regression displacement, interrupted time series analysis, auto correlation analysis, and Arima Box Jenkins methodology. According to the study findings, offering the option to remain anonymous and registering to be an organ donor with no heart icon on the driver's license did not have the immediate effect of encouraging more people to register as an organ donor. Parameter estimates from an Arima autoregression analysis did suggest that the impact of the removal of the heart icon may have a delayed impact, although data availability limited attempts at further investigation.

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Donnelly, Neil James Public Health &amp Community Medicine Faculty of Medicine UNSW. "The use of interrupted time series analysis to evaluate the impact of Pharmaceutical Benefits Scheme policies on drug utilisation in Australia". Awarded by:University of New South Wales. Public Health and Community Medicine, 2005. http://handle.unsw.edu.au/1959.4/22509.

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PROBLEM INVESTIGATED: Methodological issues and policy implications arising from the application of interrupted time series (ITS) analyses to assess the impact of Pharmaceutical Benefit Scheme (PBS) subsidisation policies on drug utilisation in Australia. PROCEDURES FOLLOWED: A critical review of methodological issues relating to the application and analysis of ITS designs was undertaken. This included an examination of drug utilisation data sources in Australia. The PBS policies examined were: (i) the introduction of copayments in 1990; (ii) the introduction of re-supply limits in 1994 and (iii) the introduction of a form of reference pricing in 1998. Monthly aggregate drug utilisation data was obtained from the Australian Department of Health and Ageing. Segmented regression analyses incorporating autocorrelated errors were implemented and statistical diagnostics applied to ensure correct ITS model specification. Alternative seasonal modelling approaches were compared. RESULTS OBTAINED: The copayment ITS evaluation found that while these copayments produced a reduction in the utilisation of essential and discretionary medications, this effect was stronger for discretionary drugs. An unintended policy effect was a large anticipatory increase in drug utilisation during the month prior to the copayments. Repatriation PBS data was also utilised due to the limited number of pre-intervention data points in the Community series. The re-supply limit ITS evaluation found that the 20-day rule markedly reduced the size of the seasonal increase during the month of December. However, logistic regression analyses showed that the size of this reduction attenuated over time, highlighting the need to consider alternative analysis strategies when applying a ITS approach. The reference pricing ITS evaluation found that this policy had achieved its drug utilisation objectives for H2RAs and ACE Inhibitors. However with regard to CCBs, no increase in the utilisation of benchmark priced drug was apparent, which probably reflected clinical concerns at the time about the safety of these drugs. MAJOR CONCLUSIONS: Well implemented ITS analyses provide a valuable tool for evaluating the impact of PBS subsidisation policy change on drug utilisation in Australia. As with any methodology, however, different design and data integrity issues will affect the quality of information provided.

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Hummelgren, Axel. "Vilket pris avgör vad du handlar? : En kvantitativ jämförande studie av krympflations påverkan på försäljning". Thesis, Uppsala universitet, Nationalekonomiska institutionen, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-419854.

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Konsumtionsbeteende är idag en viktig undersökningspunkt för att med säkerhet kunna genomföra implementeringar av nya policys inom konsumentpolitiken. Både klassiska nationalekonomiska teorier och beteendeekonomiska teorier används för att beskriva och förutsäga dessa beteenden, men det saknas undersökningar på deras faktiska kopplingar till olika typer av prissättning. Denna uppsats har gjort ett försök till att undersöka vilken påverkan en förändring i pris genom en förändring i paketstorlek har på efterfrågan. Den har även försökt ge en analys till om de förändringar som noteras är kopplade till beteendeekonomi eller klassisk nationalekonomisk teori. Med hjälp av en vanlig tidstrendsanalys tillsammans med en interrupted-time-series-analysis har försäljningstrenderna för försäljning i KG för två substituerande produkter skapats och jämförts. Dessa fastställer att förändringens påverkan framförallt stämmer överens med teorier gällande beteendeekonomi men att sambandet mellan en förändring i försäljningsnivå och en förändring i paketstorlek inte är säkerställt. Analyserna gjorda i denna studie blir därför inte fastställda och möjligtvis otillräckliga för att besvara den fråga som ställts. Jag som författare vill därför uppmana till att flera utvecklande studier inom ämnet bör utföras för att säkerställa möjliga resultat.
Consumer behaviour is today an important aspect of making quality decisions regarding policies on the consumer market. Both classical economical models and behavioural economical models are used to describe and predict these kinds of behaviours. Although todays studies on their connections to different methods of pricing are lacking. This paper tries to investigate what kind of impact a change in price by changing the size of the good has on demand. It also tries to produce an analysis on if this impact is connected with bevioural or classical economic theories. Based on a classical time-trend analysis together with an interrupted-time-series-analysis different trends for sales in KG regarding two substitutional products have been created. These determine that the effects on demand are most likely connected to behavioural economics but that the effects aren’t statistically significant. The analysis done in this paper therefore cannot be statistically determined and indicates that further studies on the subject need to be done to answer these questions with more certainty.

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Bonander, Carl. "Searching for causal effects of road traffic safety interventions : applications of the interrupted time series design". Licentiate thesis, Karlstads universitet, Institutionen för miljö- och livsvetenskaper, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-35781.

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Traffic-related injuries represent a global public health problem, and contribute largely to mortality and years lived with disability worldwide. Over the course of the last decades, improvements to road traffic safety and injury surveillance systems have resulted in a shift in focus from the prevention of motor vehicle accidents to the control of injury events involving vulnerable road users (VRUs), such as cyclists and moped riders. There have been calls for improvements to the evaluation of safety interventions due to methodological problems associated with the most commonly used study designs. The purpose of this licentiate thesis was to assess the strengths and limitations of the interrupted time series (ITS) design, which has gained some attention for its ability to provide valid effect estimates. Two national road safety interventions involving VRUs were selected as cases: the Swedish bicycle helmet law for children under the age 15, and the tightening of licensing rules for Class 1 mopeds. The empirical results suggest that both interventions were effective in improving the safety of VRUs. Unless other concurrent events affect the treatment population at the exact time of intervention, the effect estimates should be internally valid. One of the main limitations of the study design is the inability to identify why the interventions were successful, especially if they are complex and multifaceted. A lack of reliable exposure data can also pose a further threat to studies of interventions involving VRUs if the intervention can affect the exposure itself. It may also be difficult to generalize the exact effect estimates to other regions and populations. Future studies should consider the use of the ITS design to enhance the internal validity of before-after measurements.
Traffic-related injuries represent a global public health problem, and contribute largely to mortality and years lived with disability. Over the course of the last decades, improvements to road traffic safety and injury surveillance systems have resulted in a shift in focus from motor vehicle accidents to injury events involving vulnerable road users (VRUs), such as cyclists and moped riders. There have been calls for improvements to the evaluation of safety interventions due to methodological problems associated with the most commonly used study designs. The purpose of this licentiate thesis was to assess the strengths and limitations of the interrupted time series (ITS) design, which has gained some attention for its ability to provide valid effect estimates while accounting for secular trends. Two national interventions involving VRUs were selected as cases: the Swedish bicycle helmet law for children under the age 15, and the tightening of licensing rules for Class 1 mopeds. The empirical results suggest that both interventions were effective. These results are discussed in the light of some methodological considerations regarding internal and external validity, data quality and the ability to fully understand key causal mechanisms behind complex interventions.

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Akbari, Ayub. "Change in Referral Patterns to Nephrologists after Estimated Glomerular Filtration Rate (eGFR) Reporting: An interrupted time series analysis". Thesis, University of Ottawa (Canada), 2011. http://hdl.handle.net/10393/28785.

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Objectives: To update a Cochrane review of interventions to improve outpatient referral and to assess changes in referrals to nephrologists after initiating automatic estimated glomerular filtration rate (eGFR) reporting. Methods: Systematic review using standardized Cochrane methods. Before and after study with interrupted time series analysis using data from retrospective chart review on referrals from family medicine to nephrology. Results: Review added one new study and removed one for total of 17 studies. Referrals improved with education and structured referral sheets. Of 2766 eligible referrals for one-year pre-eGFR reporting to one-year post, 96.6% were reviewed. There was a 68.2% increase in referrals for chronic kidney disease (P < 0.01) and a 64.1% increase in total appropriate referrals (P =0.01) with no significant change in proportion of appropriate referrals (-2.5%, P=0.56). Conclusion: Systematic review findings did not change from the previous review. eGFR reporting increased both appropriate and inappropriate referrals.

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Condron, Aaron. "An impact evaluation of u.s. arms export controls on the u.s. defense industrial base an interrupted time-series analysis". Honors in the Major Thesis, University of Central Florida, 2011. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/363.

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The United States Defense Industrial Base (USDIB) is an essential industry to both the economic prosperity of the US and its strategic control over many advanced military systems and technologies. The USDIB, which encompasses the industries of aerospace and defense, is a volatile industry - prone to many internal and external factors that cause demand to ebb and flow widely year over year. Among the factors that influence the volume of systems the USDIB delivers to its international customers are the arms export controls of the US. These controls impose a divergence from the historical US foreign policy of furthering an open exchange of ideas and liberalized trade. These controls, imposed by the Departments of Commerce, Defense, and State rigidly control all international presence of the Industry. The overlapping controls create an inability to conform to rapidly changing realpolitiks, leaving these controls in an archaic state. This, in turn, imposes a great deal of anxiety and expense upon managers within and outside of the USDIB. Using autoregressive integrated moving average time-series analyses, this paper confirms that the implementation of or amendment to broad arms export controls correlates to significant and near immediate declines in USDIB export volumes. In the context of the US's share of world arms exports, these controls impose up to a 20% decline in export volume.
B.S.B.A.
Bachelors
Business Administration
Finance

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Kylén, Linda. "Utvärdering av mötesfria vägar : Analys av olyckor på mötesfria vägar i Karlstadsregionen". Thesis, Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-33081.

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Sedan år 1998 har det i Nollvisionens fotspår startats ett utvecklingsprogram i Sverige som syftar till att omvandla gamla 13 meters landsvägar och motortrafikleder till mötesfria. Implementeringen var tänkt att påtagligt reducera antalet mötes- och omkörningsolyckor samt singelolyckor med svåra konsekvenser i form av svårt skadade och dödade utan att försämra trafiksäkerheten i övrigt. Syftet med denna studie är att göra en effektmätning av de mötesfria vägarnas införande i Karlstadsregionen samt att göra en sammanställning av de olycksrisker mötesfria vägar omfattas av. Frågeställningarna som används i studien är: - Har det blivit säkrare på vägarna sedan implementeringen av mötesfria vägar i Karlstadsregionen? - Hur sker olyckor på mötesfria vägar inom Karlstadsregionen? För att beskriva hur olyckor sker på mötesfria vägar inom Karlstadsregionen har en deskriptiv analys tillämpats som grundats på de beskrivningar av händelseförlopp som dokumenterats i STRADA och CORE, mellan åren 2010-2013. För att avgöra huruvida vägarna blivit säkrare sedan implementering tillämpades en segmenterad linjär regressionsanalys där antalet personskadeolyckor studerats, tre år innan och tre år efter ombyggnad för respektive vägavsnitt. Singel- och upphinnandeolyckor var de dominerande olyckstyperna på mötesfria vägar i Karlstadsregionen mellan åren 2010-2013 då de sammanlagt stod för 72,3% av samtliga olyckor som medfört skada. Vid kategoriseringen av huvudorsak till olycka framgick det att 42% av alla olyckor kan spåras till brister i samspel mellan trafikanter och väderförhållanden bedömdes i 24,1% av fallen vara huvudorsak till olycka. Den statistiska analysen var inte signifikant, men gav indikation på att vägarna blivit säkrare sedan implementering då trenden för samtliga skadade minskat.
In the footsteps of Vision Zero, a development program in Sweden was initiated in 1998. The program aimed to increase road safety on existing 13-meter roads and express roads by implementing median barriers. The purpose of this study is to measure the impact of the transformed roadways in the Karlstad region and to examine the different types of accident risks the roadways are covered by. The research questions used are: - Has the implementation of median barriers in the Karlstad region contributed to safer roads? - How do accidents occur on roads with median barriers? To describe how accidents occur on roads with median barriers in Karlstad region a descriptive analysis was made by the description of event that is documented in STRADA and CORE, between the years 2010-2013. To determine whether the roads became safer after implementation a segmented linear regression analysis was applied. Accidents resulting in injury were examined, three years before and three years after reconstruction for each road section. Single-vehicle accidents and rear-end collisions were the dominating accident types on roadways with median barriers in the Karlstad region between the years 2010-2013. They together accounted for 72,3% of all accidents that resulted in injury. When the main cause of accident was examined, it emerged that 42% of all accidents could be traced to deficiencies in the interaction between road users. Weather conditions were estimated to be the main cause of accident in 24,1% of all the studied cases. The statistical analysis was not significant, but indicated that the roads became safer after the implementation since the observed trend for all types of injured decreased.

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Afonso, Eliane Terezinha. "Impacto da vacinação com a PCV10 na morbidade hospitalar por pneumonia no Brasil: análise de série temporal interrompida". Universidade Federal de Goiás, 2015. http://repositorio.bc.ufg.br/tede/handle/tede/5507.

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BACKGROUND: Pneumonia causes substantial morbidity and mortality in all age groups around the world. The 10-valent pneumococcal conjugate vaccine (PCV10) was introduced into the routine infant immunization in Brazil, free of charge, in March 2010. The aim of this study was to evaluate the impact PCV10 vaccination on rates of all cause pneumonia hospitalizations one year and three years after its introduction in Brazil. METHODS: We conducted two interrupted time series analysis studies. The first evaluated only the direct effect of PCV10 vaccination, in five Brazilian cities (Belo Horizonte, Curitiba, Porto Alegre, São Paulo and Recife), and was conducted one year after starting the vaccination. The second study evaluated the direct and indirect impact (individuals not vaccinated) of PCV10 vaccination in Brazil, and was conducted three years after vaccination. We used data from the Brazilian Hospitalization System from 2005-2013. The main outcome was monthly rates of all-cause pneumonia hospitalizations identified by ICD-10 codes J12-J18. We used hospitalization rates for congenital malformations and non-respiratory causes as a comparison groups. The time-series analysis was based on a generalized linear model. Pneumonia rates observed in the pre-vaccination period were used to estimate the hospitalization rates in the post-vaccination period of each study, adjusting for seasonality and secular trends. To estimate the direct (2-23 months of age) and indirect (≥5 years of age) impact of PCV10 vaccination, we calculated the percentage change in hospitalization rates, as the observed divided by the predicted rates of hospitalization in the post-intervention period minus one, with respective 95% CI and p values. The number of all-cause pneumonia hospitalizations averted by vaccination was calculated taking into account the difference between the predicted and observed number in the PCV10 post vaccination period. RESULTS: One year after introduction of PCV10 in Brazil, significant declines in hospitalizations for pneumonia in children aged 2-23 months were noted in Belo Horizonte (28.7%), Curitiba (23.3%), and Recife (27.4%). After three years of the introduction of PCV10, 461,519 pneumonia hospitalizations were averted in Brazil, and a significant decrease in rates of pneumonia hospitalization was observed in unvaccinated individuals aged 5-39 years, ranging from 14.1-17.4% (p<0.05). In contrast, an increased trend in pneumonia hospitalizations (p=0·004) was observed for elderly (≥ 65 years). CONCLUSION: Vaccination with PCV10 in Brazil was associated with reduction of pneumonia hospitalizations in vaccinated individuals. Herd effect was observed in individuals aged 5-39 years after three years of vaccination. Potential reasons for the increased trend in pneumonia hospitalization rates in the elderly should be investigated.
INTRODUÇÃO: As pneumonias contribuem com alta carga de morbimortalidades em todo mundo. No Brasil, a vacina pneumocócica conjugada 10 valente (PCV10) foi introduzida na rotina de imunização da infância em março de 2010. Este estudo teve como objetivo avaliar o impacto da vacinação nas taxas de hospitalizações por pneumonia no Brasil no curto e médio prazo do início da vacinação. METODOLOGIA: Dois estudos de séries temporais interrompidas foram conduzidos. O primeiro avaliou o efeito direto da vacinação em cinco capitais brasileiras (Belo Horizonte, Curitiba, Porto Alegre, São Paulo e Recife) e foi conduzido após um ano de introdução da PCV10 no país. O segundo estudo avaliou o impacto direto e indireto (população não vacinada) da vacinação em todo país e foi conduzido três anos após sua introdução. Os dados de hospitalizações foram obtidos do Sistema de Informações Hospitalares (SIH-SUS) de 2005 a 2013. O desfecho principal foi a taxa mensal de hospitalização por pneumonia definida pelos códigos J12-J18 da CID10. As taxas de hospitalizações por malformações congênitas e causas não respiratórias foram utilizadas como grupos de comparações. A análise de série temporal utilizou um modelo de regressão linear generalizado. As taxas de hospitalizações por pneumonia observadas no período pré-PCV10, ajustadas por tendência secular e sazonalidade, foram utilizadas para estimar as taxas no período pós-PCV10. O impacto da vacinação para cada faixa etária foi calculado como o percentual de mudança nas taxas de hospitalizações, dividindo-se as taxas observadas pelas taxas preditas do período pós PCV10, menos um. Os respectivos IC95% e os valores de p foram apresentados. O número de hospitalizações por pneumonia evitadas após três anos de vacinação foi estimado pela diferença entre os números de hospitalizações por pneumonia preditos e observados no período pós-vacinação. RESULTADOS: Após um ano de introdução da PCV10 no Brasil, observou-se significativo declínio nas taxas de hospitalizações por pneumonia em crianças de 2 a 23 meses em três das cinco capitais estudadas: Belo Horizonte (28,7%), Curitiba (23,3%), e Recife (27,4%). Após três anos da introdução da PCV10, 461.519 hospitalizações por pneumonia foram evitadas no Brasil e um significativo declínio nas taxas de pneumonia foi observado em indivíduos não vacinados de 5 a 39 anos variando de 14,1% a 17,4% (p<0,05). No entanto, observou-se um aumento significativo (9,9%, p=0,004) nas taxas de hospitalizações por pneumonia para idosos ≥65 anos. CONCLUSÕES: A vacinação com a PCV10 foi associada à significativa redução das hospitalizações por pneumonia na infância. Adicionalmente, o estudo evidenciou importante redução das hospitalizações por pneumonia em grupos etários não vacinados, sinalizando efeito indireto conferida pela vacina. A tendência de aumento das hospitalizações por pneumonias em idosos necessita de investigações para elucidação dos fatores envolvidos nesse fenômeno.

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Burger, Eric C. "A multivariate times series analysis of U.S. Army recruiting". Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2000. http://handle.dtic.mil/100.2/ADA379705.

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Thesis (M.S. in Operations Research)--Naval Postgraduate School, June 2000.
Thesis advisor(s): Buttrey, Samuel E. "June 2000." Includes bibliographical references (p. 89-90). Also available in print.

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Libri sul tema "Interrupted times series analysis"

Douc, Randal. Nonlinear times series: Theory, methods and applications with R examples. Boca Raton: CRC Press, 2014.

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Caporello, Gianluca. A tool for quality control of times series data: Program TERROR. Madrid: Banco de España, Servicio de Estudios, 2003.

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McDowall, David, Richard McCleary e Bradley J. Bartos. Interrupted Time Series Analysis. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190943943.001.0001.

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Interrupted Time Series Analysis develops a comprehensive set of models and methods for drawing causal inferences from time series. Example analyses of social, behavioural, and biomedical time series illustrate a general strategy for building AutoRegressive Integrated Moving Average (ARIMA) impact models. The classic Box-Jenkins-Tiao model-building strategy is supplemented with recent auxiliary tests for transformation, differencing and model selection. New developments, including Bayesian hypothesis testing and synthetic control group designs are described and their prospects for widespread adoption are discussed. Example analyses make optimal use of graphical illustrations. Mathematical methods used in the example analyses are explicated assuming only exposure to an introductory statistics course. Design and Analysis of Time Series Experiments (DATSE) and other appropriate authorities are cited for formal proofs. Forty completed example analyses are used to demonstrate the implications of model properties. The example analyses are suitable for use as problem sets for classrooms, workshops, and short-courses.

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McDowall, David, Bradley J. Bartos e Richard McCleary. Interrupted Time Series Analysis. Oxford University Press, Incorporated, 2019.

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Taylor, Stephen J. Modelling Financial Times Series. 2^a ed. World Scientific Publishing Company, 2008.

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Ltd, ICON Group. TIMES PUBLISHING LTD.: Labor Productivity Benchmarks and International Gap Analysis (Labor Productivity Series). 2^a ed. Icon Group International, 2000.

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Ltd, ICON Group. TIMES MEDIA LTD: International Competitive Benchmarks and Financial Gap Analysis (Financial Performance Series). 2^a ed. Icon Group International, Inc., 2000.

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Ltd, ICON Group. TIMES MEDIA LTD: Labor Productivity Benchmarks and International Gap Analysis (Labor Productivity Series). 2^a ed. Icon Group International, Inc., 2000.

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Ltd, ICON Group. GOOD TIMES RESTAURANTS INC.: International Competitive Benchmarks and Financial Gap Analysis (Financial Performance Series). 2^a ed. Icon Group International, 2000.

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Ltd, ICON Group. GOOD TIMES RESTAURANTS INC.: Labor Productivity Benchmarks and International Gap Analysis (Labor Productivity Series). 2^a ed. Icon Group International, 2000.

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Capitoli di libri sul tema "Interrupted times series analysis"

Apel, Robert, e Henda Y. Hsu. "Interrupted Time Series Analysis in the Study of Terrorism". In The Handbook of the Criminology of Terrorism, 276–93. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781118923986.ch18.

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Barba Maggi, Lida Mercedes. "Times Series Analysis". In Multiscale Forecasting Models, 1–29. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94992-5_1.

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Broemeling, Lyle D. "Times Series and Regression". In Bayesian Analysis of Time Series, 93–112. Boca Raton : CRC Press, Taylor & Francis Group, 2019.: Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9780429488443-5.

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Takanami, Tetsuo. "High Precision Estimation of Seismic Wave Arrival Times". In The Practice of Time Series Analysis, 79–94. New York, NY: Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4612-2162-3_5.

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Schmidt, Mathias. "Strike of Default: Sensitivity and Times Series Analysis". In Pricing and Liquidity of Complex and Structured Derivatives, 69–91. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45970-7_4.

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Marron, J. S., Félix Hernández-Campos e F. D. Smith. "A sizer analysis of IP flow start times". In Institute of Mathematical Statistics Lecture Notes - Monograph Series, 87–105. Beachwood, OH: Institute of Mathematical Statistics, 2004. http://dx.doi.org/10.1214/lnms/1215006766.

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Chelali, Mohamed, Camille Kurtz, Anne Puissant e Nicole Vincent. "Spatio-Temporal Stability Analysis in Satellite Image Times Series". In Pattern Recognition and Artificial Intelligence, 484–99. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59830-3_42.

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Bacha, M., G. Celeux, J. Diebolt e E. Idée. "Estimating failure times distributions from censored systems arranged in series". In New Approaches in Classification and Data Analysis, 533–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-51175-2_62.

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Nguyen, Man, Tan Tran e Doan Phan. "Statistical Clustering and Times Series Analysis for Bridge Monitoring Data". In Lecture Notes in Electrical Engineering, 61–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-28807-4_10.

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Özdoğru, Ünsal, e Tayfur Altiok. "Analysis of Two-Valve Fluid-Flow Systems with General Repair Times". In International Series in Operations Research & Management Science, 255–88. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-1019-2_11.

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Atti di convegni sul tema "Interrupted times series analysis"

Morrison, Christopher, Sara Jacoby, Beidi Dong, M. Kit Delgado e Douglas Wiebe. "36 An interrupted time-series analysis of ridesharing and motor vehicle crashes in us cities". In SAVIR 2017. BMJ Publishing Group Ltd, 2017. http://dx.doi.org/10.1136/injuryprev-2017-042560.36.

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Mercer, Joey, Sarah Hunt Espinosa, Nancy Bienert e Sean Laraway. "Differing air traffic controller responses to similar trajectory prediction errors: An interrupted time-series analysis of controller behavior". In 2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC). IEEE, 2016. http://dx.doi.org/10.1109/dasc.2016.7777977.

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Mulissa, Zewdie, Naod Wendrad, Befikadu Bitewulign, Abera Biadgo, Mehiret Abate, Haregeweyni Alemu, Biruk Abate, Abiyou Kiflie, Hema Magge e Gareth Parry. "21 Effect of data quality improvement intervention on health management information system data accuracy: an interrupted time series analysis". In IHI Scientific Symposium, Gaylord Palms Resort & Convention Center Orlando, Florida, 9th December 2019. British Medical Journal Publishing Group, 2019. http://dx.doi.org/10.1136/bmjoq-2019-ihi.21.

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Chen, HY, CH Lee, KC Chang, WH Chang e SC Shao. "5PSQ-195 Impact of intensified clinical decision support systems on prescribing errors: an interrupted time series analysis in Taiwan". In 25th Anniversary EAHP Congress, Hospital Pharmacy 5.0 – the future of patient care, 23–28 March 2021. British Medical Journal Publishing Group, 2021. http://dx.doi.org/10.1136/ejhpharm-2021-eahpconf.314.

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Mishima, Y., M. Asada, Y. Hadano, M. Nagashima, Y. Aiso, Y. Shibuya, M. Sugii et al. "The Impact of Antibiotic Time Outs in Multidisciplinary ICU Rounds for Antimicrobial Stewardship Program in Japan: An Interrupted Time Series Analysis". In American Thoracic Society 2020 International Conference, May 15-20, 2020 - Philadelphia, PA. American Thoracic Society, 2020. http://dx.doi.org/10.1164/ajrccm-conference.2020.201.1_meetingabstracts.a7821.

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Farina, I., E. Galuppi, G. Ciancio, C. De Giorgio, CA Scire' e M. Govoni. "AB0227 Impact of early arthritis clinic on the rate of treatment with biologics in rheumatoid arthritis: interrupted time series analysis". In Annual European Congress of Rheumatology, 14–17 June, 2017. BMJ Publishing Group Ltd and European League Against Rheumatism, 2017. http://dx.doi.org/10.1136/annrheumdis-2017-eular.6481.

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Evans, Charlotte. "OP41 Evaluation of a natural experiment to increase availability of healthier snack foods in vending machines using interrupted time series analysis". In Society for Social Medicine Annual Scientific Meeting Abstracts. BMJ Publishing Group Ltd, 2021. http://dx.doi.org/10.1136/jech-2021-ssmabstracts.41.

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Levin, KA, e E. Crighton. "P52 The effect of step-down intermediate care on days lost to delayed discharge from hospital: a controlled interrupted time series analysis". In Society for Social Medicine 62nd Annual Scientific Meeting, Hosted by the MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, 5–7 September 2018. BMJ Publishing Group Ltd, 2018. http://dx.doi.org/10.1136/jech-2018-ssmabstracts.176.

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Turner, S., D. Mackay, S. Dick, S. Semple e JP Pell. "S7 Associations between a smoke-free homes intervention and childhood admissions to hospital – an interrupted time series analysis of whole population data". In British Thoracic Society Winter Meeting, Wednesday 17 to Friday 19 February 2021, Programme and Abstracts. BMJ Publishing Group Ltd and British Thoracic Society, 2021. http://dx.doi.org/10.1136/thorax-2020-btsabstracts.13.

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Ejlerskov, KR, M. Stead, AJ Adamson, M. White e J. Adams. "OP40 #Association between supermarket checkout food policies and purchases of common less healthy checkout foods: interrupted time series analyses and meta-analysis of natural experiments". In Society for Social Medicine 62nd Annual Scientific Meeting, Hosted by the MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, 5–7 September 2018. BMJ Publishing Group Ltd, 2018. http://dx.doi.org/10.1136/jech-2018-ssmabstracts.40.

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Rapporti di organizzazioni sul tema "Interrupted times series analysis"

Diggs-McGee, Brandy, Eric Kreiger, Megan Kreiger e Michael Case. Print time vs. elapsed time : a temporal analysis of a continuous printing operation. Engineer Research and Development Center (U.S.), agosto 2021. http://dx.doi.org/10.21079/11681/41422.

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In additive construction, ambitious goals to fabricate a concrete building in less than 24 hours are attempted. In the field, this goal relies on a metric of print time to make this conclusion, which excludes rest time and delays. The task to complete a building in 24 hours was put to the test with the first attempt at a fully continuous print of a structurally reinforced additively constructed concrete (ACC) building. A time series analysis was performed during the construction of a 512 ft2 (16’x32’x9.25’) building to explore the effect of delays on the completion time. This analysis included a study of the variation in comprehensive layer print times, expected trends and forecasting for what is expected in future prints of similar types. Furthermore, the study included a determination and comparison of print time, elapsed time, and construction time, as well as a look at the effect of environmental conditions on the delay events. Upon finishing, the analysis concluded that the 3D-printed building was completed in 14-hours of print time, 31.2- hours elapsed time, a total of 5 days of construction time. This emphasizes that reports on newly 3D-printed constructions need to provide a definition of time that includes all possible duration periods to communicate realistic capabilities of this new technology.

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