OpenSSL SSL_connect: Connection reset by peer in connection to v2.sherpa.ac.uk:443 PuSH - Publikationsserver des Helmholtz Zentrums München: Statistical methods for the time-to-event analysis of individual participant data from multiple epidemiological studies.

PuSH - Publikationsserver des Helmholtz Zentrums München

Thompson, S.* ; Kaptoge, S.* ; White, I.* ; Wood, A.* ; Perry, P.* ; Danesh, J.* ; Emerging Risk Factors Collaboration (Döring, A. ; Meisinger, C.)

Statistical methods for the time-to-event analysis of individual participant data from multiple epidemiological studies.

Int. J. Epidemiol. 39, 1345-1359 (2010)
DOI PMC
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
BACKGROUND: Meta-analysis of individual participant time-to-event data from multiple prospective epidemiological studies enables detailed investigation of exposure-risk relationships, but involves a number of analytical challenges. METHODS: This article describes statistical approaches adopted in the Emerging Risk Factors Collaboration, in which primary data from more than 1 million participants in more than 100 prospective studies have been collated to enable detailed analyses of various risk markers in relation to incident cardiovascular disease outcomes. RESULTS: Analyses have been principally based on Cox proportional hazards regression models stratified by sex, undertaken in each study separately. Estimates of exposure-risk relationships, initially unadjusted and then adjusted for several confounders, have been combined over studies using meta-analysis. Methods for assessing the shape of exposure-risk associations and the proportional hazards assumption have been developed. Estimates of interactions have also been combined using meta-analysis, keeping separate within- and between-study information. Regression dilution bias caused by measurement error and within-person variation in exposures and confounders has been addressed through the analysis of repeat measurements to estimate corrected regression coefficients. These methods are exemplified by analysis of plasma fibrinogen and risk of coronary heart disease, and Stata code is made available. CONCLUSION: Increasing numbers of meta-analyses of individual participant data from observational data are being conducted to enhance the statistical power and detail of epidemiological studies. The statistical methods developed here can be used to address the needs of such analyses.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
Schlagwörter Meta-analysis; Epidemiological studies; Individual participant data; Statistical methods; Survival analysis
ISSN (print) / ISBN 0300-5771
e-ISSN 1464-3685
Zeitschrift International Journal of Epidemiology
Quellenangaben Band: 39, Heft: 5, Seiten: 1345-1359 Artikelnummer: , Supplement: ,
Verlag Oxford University Press
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Epidemiology (EPI)