Relevant bibliographies by topics / Longitudinal cohort data

Academic literature on the topic 'Longitudinal cohort data'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Longitudinal cohort data"

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Golding, Jean, and Richard Jones. "Sources of data for a longitudinal birth cohort." Paediatric and Perinatal Epidemiology 23 (July 2009): 51–62. http://dx.doi.org/10.1111/j.1365-3016.2008.00996.x.

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Prahl-Andersen, B., and C. Kowalski. "Analysis of Cohort Effects in Mixed Longitudinal Data Sets." International Journal of Sports Medicine 18, S 3 (July 1997): S186—S190. http://dx.doi.org/10.1055/s-2007-972712.

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de Frias, Cindy M., Martin Lövdén, Ulman Lindenberger, and Lars-Göran Nilsson. "Revisiting the dedifferentiation hypothesis with longitudinal multi-cohort data." Intelligence 35, no. 4 (July 2007): 381–92. http://dx.doi.org/10.1016/j.intell.2006.07.011.

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Choi, Kilchan, and Jinok Kim. "Latent Variable Regression Four-Level Hierarchical Model Using Multisite Multiple-Cohort Longitudinal Data." Journal of Educational and Behavioral Statistics 44, no. 5 (July 31, 2019): 597–624. http://dx.doi.org/10.3102/1076998619864538.

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This article proposes a latent variable regression four-level hierarchical model (LVR-HM4) that uses a fully Bayesian approach. Using multisite multiple-cohort longitudinal data, for example, annual assessment scores over grades for students who are nested within cohorts within schools, the LVR-HM4 attempts to simultaneously model two types of change, arising from individual student over grades, and successive cohorts in the same grade over years. In addition, as an extension of Choi and Seltzer, the LVR coefficients, that is, gap-in-time parameter, capturing the relationships between initial status and rates of changes within each cohort and school, help bring to light the distribution of student growth and differences in the distribution over different cohorts within schools. Advantages associated with the LVR-HM4 can be highlighted in studies on monitoring school performance or evaluations of policies and practices that may target different aspects of student academic performance such as initial status, growth, or gap over time in schools.
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Hsu, Chih-Hsiung, Yu-Jyun Lin, Yong-Chen Chen, I.-Lan Liu, San-Lin You, Je-Ming Hu, Tzu-Chiao Lin, et al. "Human Papillomavirus and Risk of Colorectal Cancer: An Analysis of Nationwide Claims Data." Medicina 58, no. 10 (October 15, 2022): 1461. http://dx.doi.org/10.3390/medicina58101461.

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Background and Objectives: Although human papillomavirus (HPV) is a major etiology of cervical and anogenital cancers, whether it is associated with colorectal carcinogenesis is yet undetermined. Materials and Methods: The longitudinal association of HPV infection with colorectal cancer (CRC) was evaluated using 2000–2013 data from a nationwide Taiwanese claims database. In this retrospective cohort study, 358 patients with primary HPV diagnoses (HPV-infected cohort) and 1432 patients without such a diagnosis (HPV-uninfected cohort) were recruited between 2000 and 2006. Both cohorts were followed up to identify CRC incidences from 2006 to 2013. Hazard ratios (HRs) and their 95% confidence intervals (CIs) derived from Cox proportional hazards models were used to estimate the association between HPV and CRC risk. Results: The HPV-infected cohort had a significantly higher cumulative incidence of CRC than the HPV-uninfected cohort. The presence of HPV was associated with an increased risk of CRC (adjusted HR, 1.63; 95% CI, 1.02–3.62). Furthermore, the significant HPV–CRC risk association was evident in both sexes. Conclusions: This population-based cohort study reveals longitudinal evidence that HPV is associated with an increased risk of CRC. Further studies are required to verify the role of HPV in colorectal carcinogenesis.
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Stasny, Elizabeth A., and Jacques A. Hagenaars. "Categorical Longitudinal Data: Log-Linear Panel, Trend, and Cohort Analysis." Journal of the American Statistical Association 88, no. 421 (March 1993): 377. http://dx.doi.org/10.2307/2290739.

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O’Neill, Dara, Michaela Benzeval, Andy Boyd, Lisa Calderwood, Cyrus Cooper, Louise Corti, Elaine Dennison, et al. "Data Resource Profile: Cohort and Longitudinal Studies Enhancement Resources (CLOSER)." International Journal of Epidemiology 48, no. 3 (February 20, 2019): 675–76. http://dx.doi.org/10.1093/ije/dyz004.

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Alemzadeh, S., U. Niemann, T. Ittermann, H. Völzke, D. Schneider, M. Spiliopoulou, K. Bühler, and B. Preim. "Visual Analysis of Missing Values in Longitudinal Cohort Study Data." Computer Graphics Forum 39, no. 1 (May 21, 2019): 63–75. http://dx.doi.org/10.1111/cgf.13662.

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Eliason, Scott R., and Jacques A. Hagenaars. "Categorical Longitudinal Data: Log-Linear Panel, Trend, and Cohort Analysis." Journal of Educational and Behavioral Statistics 20, no. 1 (1995): 103. http://dx.doi.org/10.2307/1165391.

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Richards, John D. "Categorical longitudinal data; Log-linear panel, trend, and cohort analysis,." Evaluation Practice 14, no. 1 (February 1993): 73–75. http://dx.doi.org/10.1016/0886-1633(93)90039-r.

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Dissertations / Theses on the topic "Longitudinal cohort data"

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Gao, Dexiang. "Analysis of clustered longitudinal count data /." Connect to full text via ProQuest. Limited to UCD Anschutz Medical Campus, 2007.

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Thesis (Ph.D. in Analytic Health Sciences, Department of Preventive Medicine and Biometrics) -- University of Colorado Denver, 2007.
Typescript. Includes bibliographical references (leaves 75-77). Free to UCD affiliates. Online version available via ProQuest Digital Dissertations;
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Wen, Lan. "Methods for handling missing data in cohort studies where outcomes are truncated by death." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/278788.

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This dissertation addresses problems found in observational cohort studies where the repeated outcomes of interest are truncated by both death and by dropout. In particular, we consider methods that make inference for the population of survivors at each time point, otherwise known as 'partly conditional inference'. Partly conditional inference distinguishes between the reasons for missingness; failure to make this distinction will cause inference to be based not only on pre-death outcomes which exist but also on post-death outcomes which fundamentally do not exist. Such inference is called 'immortal cohort inference'. Investigations of health and cognitive outcomes in two studies - the 'Origins of Variance in the Old Old' and the 'Health and Retirement Study' - are conducted. Analysis of these studies is complicated by outcomes of interest being missing because of death and dropout. We show, first, that linear mixed models and joint models (that model both the outcome and survival processes) produce immortal cohort inference. This makes the parameters in the longitudinal (sub-)model difficult to interpret. Second, a thorough comparison of well-known methods used to handle missing outcomes - inverse probability weighting, multiple imputation and linear increments - is made, focusing particularly on the setting where outcomes are missing due to both dropout and death. We show that when the dropout models are correctly specified for inverse probability weighting, and the imputation models are correctly specified for multiple imputation or linear increments, then the assumptions of multiple imputation and linear increments are the same as those of inverse probability weighting only if the time of death is included in the dropout and imputation models. Otherwise they may not be. Simulation studies show that each of these methods gives negligibly biased estimates of the partly conditional mean when its assumptions are met, but potentially biased estimates if its assumptions are not met. In addition, we develop new augmented inverse probability weighted estimating equations for making partly conditional inference, which offer double protection against model misspecification. That is, as long as one of the dropout and imputation models is correctly specified, the partly conditional inference is valid. Third, we describe methods that can be used to make partly conditional inference for non-ignorable missing data. Both monotone and non-monotone missing data are considered. We propose three methods that use a tilt function to relate the distribution of an outcome at visit j among those who were last observed at some time before j to those who were observed at visit j. Sensitivity analyses to departures from ignorable missingness assumptions are conducted on simulations and on real datasets. The three methods are: i) an inverse probability weighted method that up-weights observed subjects to represent subjects who are still alive but are not observed; ii) an imputation method that replaces missing outcomes of subjects who are alive with their conditional mean outcomes given past observed data; and iii) a new augmented inverse probability method that combines the previous two methods and is doubly-robust against model misspecification.
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Beaudrap, Pierre De. "Contribution à l’étude des questions statistiques rencontrées dans l’analyse des données de cohorte de personnes vivant avec le VIH sous traitement antirétroviral dans un contexte de ressources limitées." Thesis, Lyon 1, 2009. http://www.theses.fr/2009LYO10296.

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L’épidémie du VIH/SIDA a particulièrement touché l’Afrique Sub-Saharienne. En 1998, le gouvernement sénégalais a mis en place une cohorte observationnelle d’adultes infectés par le VIH-1 afin d’évaluer l’impact des antirétroviraux donnés au sein de l’Initiative Sénégalaise d’Accès aux Antirétroviraux (ISAARV). Plus spécifiquement, cette évaluation portait sur l’efficacité clinique et biologique des traitements, leur tolérance clinique et biologique, l’observance et l’émergence de résistances virales. La cohorte ANRS 1215 a été mise en place entre 1998 et 2002 à partir des 404 premiers patients inclus dans l’ISAARV. Cette thèse a utilisé les données recueillies au sein de cette cohorte pour analyser certains aspects de la réponse bio-cliniques aux traitements antirétroviraux en Afrique. Dans la première partie de ce travail, différents aspects de l’infection par le VIH en Afrique Sub-Saharienne et les questions relatives à la réponse bio-cliniques aux traitements antirétroviraux ont été passés en revus. Dans la seconde partie, les aspects méthodologiques de l’analyse des données longitudinales de cohorte ainsi que les problématiques associées ont été étudiés. Enfin, différents aspects de la réponse bio-cliniques après initiation des antirétroviraux ont été analysés au travers de 5 articles portant sur la mortalité précoce, la reconstitution immunologique, la survenue d’évènements classant, la réponse et la tolérance à deux régimes thérapeutiques différents
Sub-Saharan Africa has been heavily affected by the HIV/AIDS epidemic. In 1998, the Sengalese government launched an observational cohort of HIV-1 infected adults that aimed to assess the impact of antiretroviral therapy (ART) provided by the “l’Initiative Sénégalaise d’Accès aux Antirétroviraux” (ISAARV). This assessment focused more specifically on the clinical and biological effectiveness of ART, on the clinical and biological tolerance and on the emergence of virological resistances. The cohort was made of the first 404 patients included in the ISAARV between 1998 and 2002. The data collected through this cohort have been used to analyse in this work various aspects of biological and clinical answer to ART in Africa. In the first section, different aspects of the HIV/AIDS infection in Sub-Saharan countries have been reviewed with an emphasis put on the remaining bio-clinical questions. In the second, methodological aspects of the analysis of longitudinal data and related questions have been studied. Then, various aspects of the biological and clinical answer to ART have been analysed through five articles about early mortality, immune reconstitution, AIDS-defining illness occurrence, and the effectiveness and tolerance of two regimen
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Sen, Bisakha. "Recent changes in the relationship between marital dissolution and women's labor supply behavior : a two-cohort study using national longitudinal survey data." Connect to resource, 1998. http://rave.ohiolink.edu/etdc/view.cgi?acc%5Fnum=osu1261398059.

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Villeneuve, Claire. "Déterminants et évolution de profils de qualité de vie et d’adhésion aux traitements : analyse dans une cohorte de patients transplantés rénaux." Thesis, Limoges, 2016. http://www.theses.fr/2016LIMO0053/document.

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En parallèle des facteurs cliniques et biologiques, de nombreux déterminants psychologiques, dont l’adhésion et la qualité de vie, peuvent influencer la survie des greffons et des patients transplantés. Dans ce contexte notre objectif était d’étudier l’hétérogénéité des profils d’évolution de la qualité de vie et d’adhésion chez les patients transplantés rénaux et d’en identifier les déterminants. Dans un premier temps, l’étude de la qualité de vie a permis d’identifié deux sous-populations homogènes de patients: une majorité présentaient une qualité de vie semblable à la population générale alors que 40% des patients montraient une qualité de vie dégradée associé à une augmentation d’épisodes d’anxiété et de faiblesse musculaire. Nous avons pu montrer, dans un deuxième temps, qu’il existait deux profils d’évolution de l’adhésion : la majorité des patients étaient adhérents alors que 15 % des patients présentaient une non-adhésion en constante augmentation, une qualité de vie mentale dégradée et de plus nombreux épisodes de dépression. Enfin, nous présentons dans ce travail un nouvel outil dédié à l'évaluation de l’adhésion aux immunosuppresseurs des patients transplantés francophones. Cette thèse fournit de nouveaux outils, facile à utiliser précocement ou à distance de la greffe, permettant de détecter les patients présentant une qualité de vie et/ou une adhésion dégradée afin de mettre en place, pour ces patients, une prise en charge personnalisée
In parallel to clinical and biological factors, many psychological determinants could influence transplant patient grafts survival and contributes to patients’ morbidity and mortality. Among them, adherence and quality of life were largely reported. In this context, our objective was to study, in kidney transplant patients, quality of life and adherence time-profiles heterogeneity and to identify determinants of distinct time-course. First, we identified two homogeneous subpopulations of patients: a majority presented a quality of life similar to the general population, while 40% of patients showed a poor quality of life associated with more episodes of anxiety and muscle weakness. Secondly, we found two distinct adherence time-profiles: the majority of patients were adherent while 15% presented a non-adherence constantly increasing associated with a poor mental quality of life and more depressive episodes. Finally, we proposed in this work a new tool dedicated to the evaluation of adherence in French-speaking transplant patients. This thesis provides new tools, easy to use even early on after transplantation, to detect patients with poor quality of life and / or adhesion in order to individualize the management of these patients with appropriate interventions
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McKelvey, Karma L. PhD. "Time Trends and Predictors of Initiation for Cigarette and Waterpipe Smoking Among Jordanian School Children: Irbid, 2008-2011." FIU Digital Commons, 2014. http://digitalcommons.fiu.edu/etd/1420.

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Smoking prevalence among adolescents in the Middle East remains high while rates of smoking have been declining among adolescents elsewhere. The aims of this research were to (1) describe patterns of cigarette and waterpipe (WP) smoking, (2) identify determinants of WP smoking initiation, and (3) identify determinants of cigarette smoking initiation in a cohort of Jordanian school children. Among this cohort of school children in Irbid, Jordan, (age ≈ 12.6 at baseline) the first aim (N=1,781) described time trends in smoking behavior, age at initiation, and changes in frequency of smoking from 2008-2011 (grades 7 – 10). The second aim (N=1,243) identified determinants of WP initiation among WP-naïve students; and the third aim (N=1,454) identified determinants of cigarette smoking initiation among cigarette naïve participants. Determinants of initiation were assessed with generalized mixed models. All analyses were stratified by gender. Baseline prevalence of current smoking (cigarettes or WP) for boys and girls was 22.9% and 8.7% respectively. Prevalence of ever- and current- any smoking, cigarette smoking, WP smoking, and dual cigarette/WP smoking was higher in boys than girls each year (p These studies reveal intensive smoking patterns at early ages among Jordanian youth in Irbid, characterized by a predominance of WP smoking. WP may be a vehicle for tobacco dependence and subsequent cigarette uptake. The sizeable incidence of WP and cigarette initiation among students of both sexes points to a need for culturally relevant smoking prevention interventions. Gender-specific factors, refusal skills, and smoking cessation of both WP and cigarettes for youth and their parents/teachers would be important components of such initiatives.
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McNiece, Rosemary. "An investigation into statistical modelling of data from longitudinal studies for the study of education attainment and development : a case study using the British cohort study of 1970." Thesis, Kingston University, 2005. http://eprints.kingston.ac.uk/20295/.

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Social inequalities in educational attainment are widely reported despite educational reforms aimed at providing equal educational opportunities for all. Variation in attainment between different socio-economic groups is apparent in the early stages of . education, at primary level, and continues through compulsory into further and higher education. Many research studies have investigated the effects of social factors at different points in the education system but there is less research into how such influences develop throughout the school career and into adult life. Much education research now focuses on investigating educational progress and the factors that have an impact on attainment and progression throughout the education system. The research presented here has two related and equally important aims. The first is to investigate appropriate statistical modelling techniques for the analysis of education data, in particular for examining educational attainment and progress. However, progress is a dynamic concept and can only be examined using longitudinal data. The increasing availability of large scale longitudinal data, on a national basis, provides new opportunities to explore the effects of social and other factors on educational progress. Hence the second main aim of this research is to investigate the scope of national longitudinabstudies for examining the changing and developing effects of influential factors, such'as social background and school, on educational attainment and progress. The statistical modelling techniques are applied to data from one such study, the British Cohort Study of 1970, and the analyses provide a case study to illustrate how education data from longitudinal studies can be investigated. The fmdings from the analyses are compared against current and existing research in order to evaluate the potential of data from national birth cohort studies for the investigation and monitoring of socio-economic trends in educational attainment and progression.
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Ruedel, Kristin L. A. "Examining the impact of student-level and school-level variables on the disproportionate representation of minority students in special education using data from the early childhood longitudinal study - kindergarten cohort." College Park, Md.: University of Maryland, 2008. http://hdl.handle.net/1903/8870.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2008.
Thesis research directed by: Dept. of Special Education. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Ahlstrom, Linda. "Improving Work Ability and Return to Work among Women on Long-term Sick Leave." Doctoral thesis, Högskolan i Borås, Institutionen för Vårdvetenskap, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-3703.

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The overall aim of this thesis was to gain new knowledge of factors and interventions that improve work ability and return to work (RTW) among women on long-term sick leave from human service organizations (HSOs). The specific aims of the studies were: to evaluate the associations between the self-rated Work Ability Index (WAI) and Work Ability Score (WAS), and the relationship with prospective sick leave, symptoms, and health (Paper I); to investigate whether intervention with myofeedback training or intensive muscular strength training could decrease pain and increase work ability among women with neck pain (Paper II); to examine the associations between workplace rehabilitation and the combination of supportive conditions at work with work ability and RTW over time (Paper III); and to explore experiences, views, and strategies in the rehabilitation process for RTW (Paper IV). This thesis is based on a prospective cohort study (n=324) and a randomized controlled study (RCT) (n=60, participants with neck pain). Both quantitative and qualitative methods were used. The data collection consisted of questionnaires, laboratory-observed data, register-based data, and interviews. The results showed a very strong association between WAI and WAS, and results predicted future sick leave degree, health-related quality of life, vitality, neck pain, self-rated general health, self-rated mental health, behavioral stress, and current stress (Paper I). In the RCT (Paper II), individuals in the myofeedback intervention group increased their vitality and work ability over time and individuals in the intensive musculoskeletal strength training group increased their WAI, WAS, and mental health over time. WAI, WAS, and RTW increased over time among individuals provided with workplace rehabilitation and supportive conditions at work (Paper III) such as a sense of feeling welcome back at work, influence at work, possibilities for development, degree of freedom at work, meaning of work, quality of leadership, social support, sense of community, and work satisfaction. Women described (Paper IV) how they were striving to work and how they had different views, strategies, and approaches in the rehabilitation process for RTW. They expressed a desire to work, their goals for work, and their wishes for work. In the rehabilitation process for RTW they described their interaction with stakeholders as either controlling the interaction or struggling in the interaction. They described strategies to cope with RTW in terms of yo-yo (fluctuating) working: yo-yo working as a strategy or yo-yo working as a consequence. This thesis identifies factors of importance in improving work ability and RTW among women on long-term sick leave from HSOs. For women with neck pain, the intervention study showed feasibility of the intervention and demonstrated improved work ability and decreased pain (Paper II). The intensive muscular strength training program, which is easy for the individual to learn and perform at home, was associated with increased work ability. The results regarding rehabilitation highlight the importance of integrating workplace rehabilitation with supportive conditions at work to increase work ability and improve RTW (Paper III). Women expressed that they were striving to work and that they wanted to work (Paper IV). These women were “going in and out” of work participation (yo-yo working) as a way to handle the rehabilitation process. For assessing the status and progress of work ability among women on long-term sick leave, the single-question WAS may be used as a compliment to the full WAI as a simple indicator (Paper I).

Akademisk avhandling som för avläggande av medicine doktorsexamen vid Sahlgrenska akademin, Göteborgs universitet, kommer att offentligen försvaras i hörsal Hamberger, Medicinaregatan 16 A, Göteborg, måndagen den 6 oktober 2014, klockan 09.00

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Grimal, Richard. "L'auto-mobilité au tournant du millénaire : une approche emboîtée, individuelle et longitudinale." Thesis, Paris Est, 2015. http://www.theses.fr/2015PESC0056/document.

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L’automobile occupe une place fondamentale dans notre société, au point qu’on a pu parler de « civilisation de l’automobile ». En dépit des critiques qui lui sont régulièrement adressées, celle-ci n’a cessé de se renforcer, avec toujours davantage de voitures par adulte et une proportion croissante de déplacements effectués en voiture. Cependant, depuis le tournant du millénaire, on assiste à un retournement de tendance. Pour la première fois, la mobilité en voiture baisse dans les grandes agglomérations, tandis que la circulation automobile plafonne à l’échelle nationale. Cette évolution, du reste, n’est pas spécifique à la France mais s’observe dans l’ensemble des pays développés, une tendance parfois désignée sous le terme de « peak car (travel) ». Parmi les explications les plus convaincantes de ce retournement, figurent l’augmentation du prix du carburant, suivie de la récession de 2008. La volonté des ménages de maîtriser leurs budgets-temps de transport y contribue également, dans un contexte d’allongement des déplacements vers le travail et de dégradation des vitesses de déplacements. En outre, la diffusion de l’automobile se rapproche de la saturation. Si à long terme, la croissance du kilométrage moyen par adulte est indexée sur le taux de motorisation, cependant à moyen terme l’utilisation des véhicules fluctue en fonction du pouvoir d’achat énergétique, et un modèle basé sur ces deux variables suggère qu’on observerait une réaction normale à une augmentation exceptionnelle du prix du carburant. Les facteurs de croissance du taux de motorisation tiennent eux-mêmes principalement à la succession de générations de plus en plus motorisées, surtout chez les femmes, compte tenu d’un accès de plus en plus large au permis de conduire, à l’activité professionnelle, et d’une urbanisation de plus en plus diffuse, qui ont augmenté le besoin d’une seconde voiture. Pour modéliser l’auto-mobilité, on propose une approche emboîtée, individuelle et longitudinale, segmentée en fonction du genre. L’auto-mobilité peut en effet être vue au niveau individuel comme une succession de choix emboîtés, puisque la détention du permis conditionne l’accès à un véhicule personnel, de même que la motorisation conditionne l’usage d’un véhicule. L’avantage d’une approche longitudinale réside dans la possibilité de distinguer entre mesures d’hétérogénéité et de sensibilité, qui ne sont pas équivalentes. Pour chaque niveau de choix, l’approche est structurée autour d’une analyse de type âge-cohorte-période. Globalement, les taux de motorisation sont plus hétérogènes chez les femmes, un résultat qui est susceptible de recevoir une double interprétation, économique ou sociétale. On peut le voir en termes d’inégalités de genre. Mais il peut également s’interpréter comme le reflet d’un statut encore intermédiaire du second véhicule, dont l’opportunité serait davantage évaluée au regard des besoins et des contraintes réels du ménage. A l’inverse, l’usage des véhicules est à la fois plus élevé et plus hétérogène chez les hommes, compte tenu de la fonction collective du véhicule principal et des arbitrages internes aux ménages quant aux choix du lieu de résidence et des lieux de travail des conjoints. Pour finir, on estime à partir de modèles sur données de panel des effets marginaux et des élasticités par rapport au revenu, au prix du carburant et à la densité, qui sont ensuite comparées avec la littérature. Dans l’ensemble, les résultats sont cohérents avec l’analyse descriptive, ainsi qu’avec la littérature. Le modèle permet également de rendre compte du déclin tendanciel des élasticités, traduisant l’approche de la saturation. Pour finir, une évaluation a posteriori confirme l’opportunité d’une modélisation séquentielle, indiquant que les choix de motorisation sont indépendants des niveaux d’usage de la voiture
Car ownership and use are a decisive part of our society, which was sometimes designed as the “civilization of the car”. Despite many critics, the car has become ever-more central in the modern way of life, with an ever-increasing number of cars per adult and proportion of trips realized by car. However, from the beginning of the millennium, there was a reversal in the trend towards ever-more car use. For the first time, the average number of daily trips realized by car has been falling down in French conurbations, and nationwide traffic by car is leveling off. This situation, nonetheless, is not specific to France but is common to many developed countries, and is often referred to as the “peak car (travel)”. The main explanations for such a downturn include rising fuel prices from the late 1990’s, followed by the recession in 2008, but also household’s willingness to control their travel time budgets, in a context of increasing commuting distances and reduced travel speeds. Besides, the diffusion of car ownership is approaching saturation. While on the long-run, average car travel per adult is indexed on motorization, mid-term fluctuations of average car use per vehicle are related to the energetic purchasing power, and a simple model based on these two variables is suggesting that the stagnation of car use from the 2000’s could be a reaction of a usual kind to an exceptional rise in fuel prices. The growth in motorization is itself principally caused by the follow-up of ever-more motorized generations, especially among women, given their increasing access to driving license, job participation and ever-more diffuse land use patterns, which have increased the need for a second car within households. In order to model auto-mobility, a nested, individual and longitudinal approach is implemented, segmented by gender. Auto-mobility can indeed be seen as a follow-up of nested choices, as driving license is necessary for holding a car, while access to a personal vehicle is itself required for car use. The advantage of a longitudinal approach consists in the ability to distinguish between measures of heterogeneity and sensitivity, which can be shown not to be equivalent. For every given level of choice, the approach is based on an age-cohort-period-type analysis. Motorization rates happen to be more heterogeneous among women, a result which is likely to receive an interpretation either of a social or economic nature. According to the first interpretation, it should be regarded as the illustration of gender inequalities. However, it could also be regarded as reflecting the still-intermediary status of the second vehicle, which opportunity is assessed depending upon household’s specific needs and constraints. On the contrary, car use is at the same time higher and more heterogeneous among men, given the collective function of the first vehicle and household’s internal trade-offs in residential and job choices. Finally, average partial effects and elasticities are estimated from panel data models, either with respect to income, fuel prices or density. Generally, results are consistent with the descriptive part, as with the literature. The model also rationally gives account of the decreasing trend for elasticities, which was often noticed in the literature and reflects the approach of saturation. As a conclusion, an a posteriori evaluation of the assumption of a sequential decision process is made, confirming that choices of motorization and car use are mutually independent
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Books on the topic "Longitudinal cohort data"

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Categorical Longitudinal Data: Log-linear panel, trend, and cohort analysis. Newbury Park, Calif: Sage Publications, 1990.

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Payne, Joan. Progress of low achievers after age sixteen: An analysis of data from the England and Wales Youth Cohort Study. [London?]: Dept. for Education and Employment, 2000.

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Statistics Canada. Analytical Studies Branch. Longitudinal career data for selected cohorts of men and women in the public service, 1978-1987. Ottawa, Ont: Statistics Canada, 1990.

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G, Picot W., and Wannell Ted, eds. Longitudinal career data for selected cohorts of men and women in the public service, 1978-1987. Ottawa: Statistics Canada, 1989.

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Hagenaars, Jacques A. Categorical Longitudinal Data: Log-Linear Panel, Trend, and Cohort Analysis. Sage Publications, Inc, 1994.

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A, Sebring Penny, National Opinion Research Center, and United States. Office of Educational Research and Improvement. Center for Statistics, eds. High school and beyond, 1980 senior cohort third follow-up (1986): Data file user's manual. [Washington, D.C.]: Center for Education Statistics, Office of Educational Research and Improvement, U.S. Dept. of Education, 1987.

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A, Sebring Penny, United States. Office of Educational Research and Improvement. Center for Education Statistics, and National Opinion Research Center, eds. High school and beyond, 1980 sophomore cohort third follow-up (1986): Data file user's manual. [Washington, D.C.?]: The Center, 1987.

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Book chapters on the topic "Longitudinal cohort data"

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Petersen, Maya L., and Mark J. van der Laan. "Case Study: Longitudinal HIV Cohort Data." In Targeted Learning, 397–417. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9782-1_24.

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Jöreskog, Karl G., and Dag Sörbom. "Simultaneous Analysis of Longitudinal Data From Several Cohorts." In Cohort Analysis in Social Research, 323–41. New York, NY: Springer New York, 1985. http://dx.doi.org/10.1007/978-1-4613-8536-3_10.

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Heckman, James, and Richard Robb. "Using Longitudinal Data to Estimate Age, Period and Cohort Effects in Earnings Equations." In Cohort Analysis in Social Research, 137–50. New York, NY: Springer New York, 1985. http://dx.doi.org/10.1007/978-1-4613-8536-3_5.

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Drasch, Katrin, Corinna Kleinert, Britta Matthes, and Michael Ruland. "Why Do We Collect Data on Educational Histories Over the Life Course the Way We Do ? Core Questionnaire Design Decisions in Starting Cohort 6—Adults." In Methodological Issues of Longitudinal Surveys, 331–47. Wiesbaden: Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-11994-2_19.

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Sibbritt, David, and Jon Adams. "Utilizing existing data sets to investigate complementary and alternative medicine consumption: Cohort studies and longitudinal analyses." In Traditional, Complementary and Integrative Medicine, 26–32. London: Macmillan Education UK, 2012. http://dx.doi.org/10.1007/978-1-137-26559-3_4.

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Kamenidou, Irene, Spyridon Mamalis, Ifigeneia Mylona, and Evangelia Zoi Bara. "Comparing Five Generational Cohorts on Their Sustainable Food Consumption Patterns: Recommendations for Improvement Through Marketing Communication." In Advances in Longitudinal Data Methods in Applied Economic Research, 69–80. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63970-9_5.

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De Masi, Alexandre, and Katarzyna Wac. "The Importance of Smartphone Connectivity in Quality of Life." In Quantifying Quality of Life, 523–51. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94212-0_23.

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AbstractMobile network connectivity enables individuals to use various Internet-based applications and is nowadays an integral part of the physical environment. More specifically, this connectivity shapes individuals’ modes of gathering information and their communication capabilities. In turn, this impacts the individual’s decision-making and, in the long term, may influence their health and quality of life (QoL). This chapter focuses on longitudinal modeling of the availability of mobile connectivity such as Wi-Fi and 3G or 4G for individuals living in the Geneva area (Switzerland). We analyze connectivity over 5 years (2015–2020) based on data collected from 110 mQoL (mobile QoL) Living Lab participants. The participants are from three different cohorts corresponding to distinct data collection periods (2015–2017, 2018–2019, 2020). We derive four features that quantify an individual’s connectivity level: the network access technology (Wi-Fi or cellular), signal strength, the overall data consumption (upload and download), and the participants’ mobility patterns while connected. We also compare the connectivity levels of the three cohorts over time. Our findings reflect the relations between mobile connectivity and the smartphone network activity of the mQoL study cohorts during their daily activities, which may impact their QoL. We summarize the results and conclude this chapter by exploring the different QoL technologies and services enabled by mobile connectivity. However, the effects of connectivity on specific QoL domains, such as psychological aspects (i.e., positive/negative feelings) or social relationships, should be investigated further.
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Olweus, Dan, and Françoise D. Alsaker. "Assessing change in a cohort-longitudinal study with hierarchical data." In Problems and Methods in Longitudinal Research, 107–32. Cambridge University Press, 1991. http://dx.doi.org/10.1017/cbo9780511663260.008.

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Muñoz, Alvaro, and F. Javier Nieto. "Cohort studies." In Oxford Textbook of Global Public Health, edited by Roger Detels, Quarraisha Abdool Karim, Fran Baum, Liming Li, and Alastair H. Leyland, 85–100. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780198816805.003.0030.

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The simplest cohort design is to obtain exposure data at baseline and follow-up individuals to obtain data up to the point when the event of interest occurs. A richer design includes regularly scheduled visits at which data on exposures are updated. The exposures can be either fixed over time (e.g. race), change directly with time (e.g. age and calendar), or change at their own pace (e.g. biological markers). According to the scientific aims of a cohort study, disease occurrence can be measured as an event in person-time, time-to-endpoint of interest, or change in a biomarker repeatedly measured at follow-up visits. Analytical methods include survival analyses to handle censored observations and late entries due to incomplete observation of the development of events and origin, and longitudinal data analyses for the trajectories of markers of disease progression. Stratification, multivariate regression, and causal inference methods are key tools to accomplish comparability among exposed and unexposed groups. Identification of exposures and risk factors for disease provides a basis for prevention strategies. Data from cohort studies can be used to assess the effects of interventions by using data at the individual level to determine individual effectiveness or by comparing occurrence of disease in the population when typically none or only a few are intervened to determine population effectiveness.
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Mukherjee, Bhramar, Yin-Hsiu Chen, Yi-An Ko, Zihuai He, Seunggeun Lee, Min Zhang, and Sung Kyun Park. "Statistical Strategies for Modeling Gene × Environment Interactions in Longitudinal Cohort Studies." In Statistical Approaches to Gene X Environment Interactions for Complex Phenotypes. The MIT Press, 2016. http://dx.doi.org/10.7551/mitpress/9780262034685.003.0008.

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In this chapter, Mukherjee and colleagues highlight the importance of longitudinal research designs and statistical models to investigate G x E relationships. The chapter provides a history of a range of alternative statistical models that have been used to study G X E interactions with longitudinal data, as well as a critique of their relative strengths and weaknesses. Of importance, the models reviewed incorporate information on both time invariant and time varying exposures to characterize more dynamic patterns of change across time. The authors use longitudinal data from the Normative Aging Study to illustrate some of the longitudinal models by focusing on pulse pressure, which is a risk factor for arterial stiffness. A reduced set of SNPs that have been identified in this substantive area of research were identified and the outcome measure was level of lead in the tibia bone. The authors describe their approach as a pathway orientation toward identifying how environmental exposures across time may influence changes in bone lead levels. This illustration provides clarity on issues raised in modeling G X E longitudinal data that generalize to other areas of health and to other phenotypes. It also raises critical questions about where we have been and where we need to go in the modeling of G X E interactions with longitudinal data.
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Conference papers on the topic "Longitudinal cohort data"

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Fernandes, Ana S., Ian H. Jarman, Terence A. Etchells, José M. Fonseca, Elia Biganzoli, Chris Bajdik, and Paulo J. G. Lisboa. "Missing Data Imputation in Longitudinal Cohort Studies: Application of PLANN-ARD in Breast Cancer Survival." In 2008 Seventh International Conference on Machine Learning and Applications. IEEE, 2008. http://dx.doi.org/10.1109/icmla.2008.106.

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Hose, A. J., E. Von Mutius, K. F. Rabe, G. Hansen, M. V. Kopp, and M. J. Ege. "Longitudinal data-driven definition of clinical asthma phenotypes in the pediatric arm of the ALLIANCE cohort." In ERS International Congress 2022 abstracts. European Respiratory Society, 2022. http://dx.doi.org/10.1183/13993003.congress-2022.4604.

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Dodd, Shawn X., Kiran Pohar Manhas, Stacey Page, Nicole Letourneau, Xinjie Cui, and Suzanne Tough. "Governance and Privacy in a Provincial Data Repository - A Cross-sectional Analysis of Longitudinal Birth Cohort Parent Participants’ Perspectives on Sharing Adult Vs. Child Research Data." In 6th International Conference on Data Science, Technology and Applications. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0006430802080215.

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Buonamico, Enrico, Vito Liotino, Maria Rosaria Vulpi, Michela Dimitri, Alberto Capozzolo, Silvano Dragonieri, and Onofrio Resta. "Longitudinal study of CAT in a COPD cohort and its relationship with change in patient’s impression of disease severity. Preliminary data." In ERS International Congress 2019 abstracts. European Respiratory Society, 2019. http://dx.doi.org/10.1183/13993003.congress-2019.pa2691.

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Mihai, C., M. Antic, R. Dobrota, D. Bondermann, H. Chadha-Boreham, G. Coghlan, CP Denton, et al. "OP0034 Factors associated with disease progression in early-diagnosed pulmonary arterial hypertension associated with systemic sclerosis: longitudinal data from the detect cohort." 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.2866.

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Lenoir, Alexandra, Hannah R. Whittaker, Alicia Gayle, Deborah L. Jarvis, and Jennifer K. Quint. "Clinical characteristics, mortality rates and causes of death in non-exacerbating COPD patients. A longitudinal cohort analysis of UK primary care data." In ERS International Congress 2021 abstracts. European Respiratory Society, 2021. http://dx.doi.org/10.1183/13993003.congress-2021.oa2871.

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Hose, Alexander, Thomas Bahmer, Klaus Rabe, Erika Von Mutius, Gesine Hansen, Matthias Kopp, and Markus Ege. "Longitudinal data-driven definition of clinical asthma phenotypes in the pediatric arm of the All Age Asthma Cohort (ALLIANCE) of the German Center for Lung Research (DZL)." In ERS International Congress 2020 abstracts. European Respiratory Society, 2020. http://dx.doi.org/10.1183/13993003.congress-2020.4021.

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Xu, Jie, Cheng Deng, Xinbo Gao, Dinggang Shen, and Heng Huang. "Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/542.

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Alzheimer's disease (AD) is a neurodegenerative disorder with slow onset, which could result in the deterioration of the duration of persistent neurological dysfunction. How to identify the informative longitudinal phenotypic neuroimaging markers and predict cognitive measures are crucial to recognize AD at early stage. Many existing models related imaging measures to cognitive status using regression models, but they did not take full consideration of the interaction between cognitive scores. In this paper, we propose a robust low-rank structured sparse regression method (RLSR) to address this issue. The proposed model simultaneously selects effective features and learns the underlying structure between cognitive scores by utilizing novel mixed structured sparsity inducing norms and low-rank approximation. In addition, an efficient algorithm is derived to solve the proposed non-smooth objective function with proved convergence. Empirical studies on cognitive data of the ADNI cohort demonstrate the superior performance of the proposed method.
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Ramachandran, Manasi, Rohini Retarekar, David Hasan, Bruno Policeni, Robert E. Harbaugh, and Madhavan L. Raghavan. "Comparison of Imaging Modalities in the Quantification of Cerebral Aneurysm Geometry." In ASME 2010 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2010. http://dx.doi.org/10.1115/sbc2010-19647.

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Longitudinal studies of a large cohort of cerebral aneurysm patients are essential for assessing the ability of geometric and biomechanical indices in predicting their growth or rupture risk [1,2]. Patients with these lesions are routinely subjected to volumetric scans, but these can be one of four modalities — 3D rotational angiography (3DRA), Computed Tomography Angiography (CTA), Magnetic Resonance Angiography (MRA) and MR Time-of-flight (MR-TOF) — the choice of which is often dictated by clinical considerations. One of the challenges in geometric analysis of cerebral aneurysms is the consistency in the process of 3D reconstruction of aneurysm geometry when data from multiple imaging modalities are used. It is reasonable to wonder if the same aneurysm were imaged using different imaging modalities, whether the quantified measures of the aneurysm’s shape and size will be different. The objective of this study is to assess the sensitivity of geometric indices of cerebral aneurysms to the modality from which the image volume is obtained. A patient-specific silicone model of the head and neck vasculature with an aneurysm was imaged using all four modalities, geometric measures were estimated and compared.
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Hussain, Farhat Naz, Reem Al-Mannai, Mohammad Issam Diab, and Abdelali Agouni. "Investigating the use of a Lecture Capture System within Pharmacy Education: Lessons from an Internationally Accredited Undergraduate Pharmacy Program." In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2020. http://dx.doi.org/10.29117/quarfe.2020.0239.

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Introduction: Video lecture capture has been introduced to support students learning and assist with grasping difficult concepts. A variety of benefits is offered through the Echo360 system introduced at our institution nearly a decade ago. Methods: We evaluated lecture capture viewings for professional undergraduate pharmacy courses in the Fall and Spring semesters over three academic years and analyzed data for one cohort of students. Each course within the pharmacy program was analyzed and viewing figures downloaded through the Echo360 management system. The average number of views per lecture, per semester was summarized. Results: Junior students viewed lecture capture most frequently with the number of views highest at the beginning of the academic year. Year 1 students had the highest percentage of courses viewed by a number equal to or higher than students enrolled (9 occurrences out of 16 or 56%), followed by year 2 students (9 occurrences out of 21 or 43%), and finally year 3 students (3 occurrences out of 11 or 27%). Longitudinal data was also gathered for the Class of 2020 over three academic years. Conclusion/future directions: Further quantitative and qualitative studies are warranted to fully grasp the motivations for use, attitudes and perceptions towards the system. To ensure optimal use of the system by both students and faculty for a multitude of learning and teaching styles and methods, professional development sessions for students and faculty can be implemented to display the advantages of the lecture capture system and maximize the benefits from its availability. This study has now been published.
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Reports on the topic "Longitudinal cohort data"

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Krengel, Maxine, and Kimberly Sullivan. Redefining Gulf War Illness Using Longitudinal Health Data: The Fort Devens Cohort. Fort Belvoir, VA: Defense Technical Information Center, October 2012. http://dx.doi.org/10.21236/ada567839.

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Gender identity is not as simple as ABC(D). ACAMH, October 2020. http://dx.doi.org/10.13056/acamh.13244.

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Alexandra Potter and colleagues in the USA have used data collected as part of the longitudinal Adolescent Brain Cognitive Development (ABCD) US cohort study to examine associations between diverse gender experiences and mental health.
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Sleep problems from infancy are linked with impaired well-being in middle childhood. ACAMH, December 2020. http://dx.doi.org/10.13056/acamh.14200.

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Researchers in the USA and Australia have found that sleep disturbances from early childhood are associated with reductions in well-being at age 10-11 years old. Ariel Williamson and colleagues came to this conclusion after analysing data from >5,000 children enrolled in the Longitudinal Study of Australian Children – Birth Cohort.
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