Results 31 to 40 of about 3,064,262 (335)
Social Sciences, 2023 Criminology has been hampered by a lack of longitudinal data to examine the consequences of victimisation. However, recently, ‘Understanding Society’, the United Kingdom Household Panel Survey (UKHLS), began fielding a small battery of questions relating
Niels Blom, Vanessa Gash
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Regression Trees for Longitudinal Data [PDF]
, 2013 While studying response trajectory, often the population of interest may be diverse enough to exist distinct subgroups within it and the longitudinal change in response may not be uniform in these subgroups.
Harezlak, Jaroslaw, Kundu, Madan Gopal
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Understanding the impact of fertility history on health outcomes in later life.
International Journal of Population Data Science, 2022 Objectives Aims of this research, involving data linkage and health outcomes, is to gain a full understanding of the impact of both fertility histories and childlessness on health outcomes mid-life accounting for socio-economic background and area of ...
Lee Williamson, Chris Dibben
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Modeling left-truncated and right-censored survival data with longitudinal covariates [PDF]
, 2012 There is a surge in medical follow-up studies that include longitudinal covariates in the modeling of survival data. So far, the focus has been largely on right-censored survival data.
Su, Yu-Ru, Wang, Jane-Ling
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Correspondence Analysis of Longitudinal Data [PDF]
, 2005 Correspondence analysis is an exploratory tool for the analysis of associations between categorical variables, the results of which may be displayed graphically. For longitudinal data two types of analysis can be distinguished: the first focusses on transitions, whereas the second investigates trends.
De Rooij, M., Van der Heijden, P.G.M.
openaire +4 more sources
International Journal of Population Data ScienceObjectives This initiative aimed to enhance transparency in health data access processes by co-developing and implementing clear standards. The goal was to improve public trust and understanding, streamline governance, and promote meaningful public ...
Ester Bellavia +5 more
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Functional single index models for longitudinal data
, 2011 A new single-index model that reflects the time-dynamic effects of the single index is proposed for longitudinal and functional response data, possibly measured with errors, for both longitudinal and time-invariant covariates.
Jiang, Ci-Ren, Wang, Jane-Ling
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Embedding Public Voices in Data Governance: Insights from the GUARDS Principles Consultation
International Journal of Population Data ScienceObjectives This project explored public perspectives on the GUARDS Principles, an overarching governance framework for the population data research community, which builds on existing good practice guidance.
Ester Bellavia +5 more
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Signal Detection and Monitoring Based on Longitudinal Healthcare Data
Pharmaceutics, 2012 Post-marketing detection and surveillance of potential safety hazards are crucial tasks in pharmacovigilance. To uncover such safety risks, a wide set of techniques has been developed for spontaneous reporting data and, more recently, for longitudinal ...
Iris Pigeot, Marc Suling
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, 2010 In many medical studies, patients are followed longitudinally and interest is on assessing the relationship between longitudinal measurements and time to an event.
Albert, Paul S., Shih, Joanna H.
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