Literatura académica sobre el tema "Interrupted times series analysis"
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Artículos de revistas sobre el tema "Interrupted times series analysis"
McDonald, Terrence, Brendan Lethebe, Alistair McGuire y Lee Green. "Time modifier billing code - an interrupted time series analysis". Canadian Journal of Emergency Nursing 44, n.º 2 (20 de julio de 2021): 17. http://dx.doi.org/10.29173/cjen137.
Texto completoGEBSKI, V., K. ELLINGSON, J. EDWARDS, J. JERNIGAN y D. KLEINBAUM. "Modelling interrupted time series to evaluate prevention and control of infection in healthcare". Epidemiology and Infection 140, n.º 12 (16 de febrero de 2012): 2131–41. http://dx.doi.org/10.1017/s0950268812000179.
Texto completoGuan, Xiaodong, Ye Tian, Dennis Ross-Degnan, Chunxia Man y Luwen Shi. "Interrupted time-series analysis of the impact of generic market entry of antineoplastic products in China". BMJ Open 8, n.º 7 (julio de 2018): e022328. http://dx.doi.org/10.1136/bmjopen-2018-022328.
Texto completoHolmes, John, Emma Beard, Jamie Brown, Alan Brennan, Inge Kersbergen, Petra S. Meier, Susan Michie, Abigail K. Stevely y Penny Buykx. "The impact of promoting revised UK low-risk drinking guidelines on alcohol consumption: interrupted time series analysis". Public Health Research 8, n.º 14 (octubre de 2020): 1–108. http://dx.doi.org/10.3310/phr08140.
Texto completoTao, Liyuan, Chen Zhang, Lin Zeng, Shengrong Zhu, Nan Li, Wei Li, Hua Zhang, Yiming Zhao, Siyan Zhan y 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.º 1 (20 de enero de 2020): e16912. http://dx.doi.org/10.2196/16912.
Texto completoKnowles, Emma, Neil Shephard, Tony Stone, Lindsey Bishop-Edwards, Enid Hirst, Linda Abouzeid, Suzanne Mason y 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.º 27 (julio de 2018): 1–234. http://dx.doi.org/10.3310/hsdr06270.
Texto completoInnes, G., J. Marsden, D. Kalla, R. Stenstrom y E. Grafstein. "MP017: Impact of physician payment mechanism on wait times and ED length of stay". CJEM 18, S1 (mayo de 2016): S72. http://dx.doi.org/10.1017/cem.2016.158.
Texto completoEvdokimova, Ekaterina, Sabine Wittevrongel y 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.
Texto completoHarada, Yukinori y 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.º 8 (31 de agosto de 2020): e21056. http://dx.doi.org/10.2196/21056.
Texto completoLeopold, Christine, Fang Zhang, Aukje K. Mantel-Teeuwisse, Sabine Vogler, Silvia Valkova, Dennis Ross-Degnan y 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.º 1 (2014): 53. http://dx.doi.org/10.1186/1475-9276-13-53.
Texto completoTesis sobre el 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.
Texto completoGerlach, Laura A. "Increasing Organ Donations in Maryland: An Interrupted Time Series Analysis". ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/5707.
Texto completoDonnelly, Neil James Public Health & 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.
Texto completoHummelgren, 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.
Texto completoConsumer 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.
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.
Texto completoTraffic-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.
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.
Texto completoCondron, 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.
Texto completoB.S.B.A.
Bachelors
Business Administration
Finance
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.
Texto completoIn 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.
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.
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.
Texto completoThesis advisor(s): Buttrey, Samuel E. "June 2000." Includes bibliographical references (p. 89-90). Also available in print.
Libros sobre el tema "Interrupted times series analysis"
Douc, Randal. Nonlinear times series: Theory, methods and applications with R examples. Boca Raton: CRC Press, 2014.
Buscar texto completoCaporello, Gianluca. A tool for quality control of times series data: Program TERROR. Madrid: Banco de España, Servicio de Estudios, 2003.
Buscar texto completoMcDowall, David, Richard McCleary y Bradley J. Bartos. Interrupted Time Series Analysis. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190943943.001.0001.
Texto completoMcDowall, David, Bradley J. Bartos y Richard McCleary. Interrupted Time Series Analysis. Oxford University Press, Incorporated, 2019.
Buscar texto completoTaylor, Stephen J. Modelling Financial Times Series. 2a ed. World Scientific Publishing Company, 2008.
Buscar texto completoLtd, ICON Group. TIMES PUBLISHING LTD.: Labor Productivity Benchmarks and International Gap Analysis (Labor Productivity Series). 2a ed. Icon Group International, 2000.
Buscar texto completoLtd, ICON Group. TIMES MEDIA LTD: International Competitive Benchmarks and Financial Gap Analysis (Financial Performance Series). 2a ed. Icon Group International, Inc., 2000.
Buscar texto completoLtd, ICON Group. TIMES MEDIA LTD: Labor Productivity Benchmarks and International Gap Analysis (Labor Productivity Series). 2a ed. Icon Group International, Inc., 2000.
Buscar texto completoLtd, ICON Group. GOOD TIMES RESTAURANTS INC.: International Competitive Benchmarks and Financial Gap Analysis (Financial Performance Series). 2a ed. Icon Group International, 2000.
Buscar texto completoLtd, ICON Group. GOOD TIMES RESTAURANTS INC.: Labor Productivity Benchmarks and International Gap Analysis (Labor Productivity Series). 2a ed. Icon Group International, 2000.
Buscar texto completoCapítulos de libros sobre el tema "Interrupted times series analysis"
Apel, Robert y Henda Y. Hsu. "Interrupted Time Series Analysis in the Study of Terrorism". En 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.
Texto completoBarba Maggi, Lida Mercedes. "Times Series Analysis". En Multiscale Forecasting Models, 1–29. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94992-5_1.
Texto completoBroemeling, Lyle D. "Times Series and Regression". En 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.
Texto completoTakanami, Tetsuo. "High Precision Estimation of Seismic Wave Arrival Times". En 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.
Texto completoSchmidt, Mathias. "Strike of Default: Sensitivity and Times Series Analysis". En 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.
Texto completoMarron, J. S., Félix Hernández-Campos y F. D. Smith. "A sizer analysis of IP flow start times". En 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.
Texto completoChelali, Mohamed, Camille Kurtz, Anne Puissant y Nicole Vincent. "Spatio-Temporal Stability Analysis in Satellite Image Times Series". En Pattern Recognition and Artificial Intelligence, 484–99. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59830-3_42.
Texto completoBacha, M., G. Celeux, J. Diebolt y E. Idée. "Estimating failure times distributions from censored systems arranged in series". En 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.
Texto completoNguyen, Man, Tan Tran y Doan Phan. "Statistical Clustering and Times Series Analysis for Bridge Monitoring Data". En 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.
Texto completoÖzdoğru, Ünsal y Tayfur Altiok. "Analysis of Two-Valve Fluid-Flow Systems with General Repair Times". En 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.
Texto completoActas de conferencias sobre el tema "Interrupted times series analysis"
Morrison, Christopher, Sara Jacoby, Beidi Dong, M. Kit Delgado y Douglas Wiebe. "36 An interrupted time-series analysis of ridesharing and motor vehicle crashes in us cities". En SAVIR 2017. BMJ Publishing Group Ltd, 2017. http://dx.doi.org/10.1136/injuryprev-2017-042560.36.
Texto completoMercer, Joey, Sarah Hunt Espinosa, Nancy Bienert y Sean Laraway. "Differing air traffic controller responses to similar trajectory prediction errors: An interrupted time-series analysis of controller behavior". En 2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC). IEEE, 2016. http://dx.doi.org/10.1109/dasc.2016.7777977.
Texto completoMulissa, Zewdie, Naod Wendrad, Befikadu Bitewulign, Abera Biadgo, Mehiret Abate, Haregeweyni Alemu, Biruk Abate, Abiyou Kiflie, Hema Magge y Gareth Parry. "21 Effect of data quality improvement intervention on health management information system data accuracy: an interrupted time series analysis". En 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.
Texto completoChen, HY, CH Lee, KC Chang, WH Chang y SC Shao. "5PSQ-195 Impact of intensified clinical decision support systems on prescribing errors: an interrupted time series analysis in Taiwan". En 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.
Texto completoMishima, 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". En 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.
Texto completoFarina, I., E. Galuppi, G. Ciancio, C. De Giorgio, CA Scire' y M. Govoni. "AB0227 Impact of early arthritis clinic on the rate of treatment with biologics in rheumatoid arthritis: interrupted time series analysis". En 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.
Texto completoEvans, Charlotte. "OP41 Evaluation of a natural experiment to increase availability of healthier snack foods in vending machines using interrupted time series analysis". En Society for Social Medicine Annual Scientific Meeting Abstracts. BMJ Publishing Group Ltd, 2021. http://dx.doi.org/10.1136/jech-2021-ssmabstracts.41.
Texto completoLevin, KA y E. Crighton. "P52 The effect of step-down intermediate care on days lost to delayed discharge from hospital: a controlled interrupted time series analysis". En 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.
Texto completoTurner, S., D. Mackay, S. Dick, S. Semple y JP Pell. "S7 Associations between a smoke-free homes intervention and childhood admissions to hospital – an interrupted time series analysis of whole population data". En 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.
Texto completoEjlerskov, KR, M. Stead, AJ Adamson, M. White y 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". En 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.
Texto completoInformes sobre el tema "Interrupted times series analysis"
Diggs-McGee, Brandy, Eric Kreiger, Megan Kreiger y Michael Case. Print time vs. elapsed time : a temporal analysis of a continuous printing operation. Engineer Research and Development Center (U.S.), agosto de 2021. http://dx.doi.org/10.21079/11681/41422.
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