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Correcting for multivariate measurement error by regression calibration in meta-analyses of epidemiological studies.

TitleCorrecting for multivariate measurement error by regression calibration in meta-analyses of epidemiological studies.
Publication TypeJournal Article
Year of Publication2009
Corporate/Institutional AuthorsFibrinogen Studies Collaboration,
JournalStat Med
Volume28
Issue7
Pagination1067-92
Date Published2009 Mar 30
ISSN0277-6715
KeywordsBias, Cardiovascular Diseases, Epidemiologic Studies, Fibrinogen, Meta-Analysis as Topic, Models, Statistical, Multivariate Analysis, Regression Analysis
Abstract<p>Within-person variability in measured values of multiple risk factors can bias their associations with disease. The multivariate regression calibration (RC) approach can correct for such measurement error and has been applied to studies in which true values or independent repeat measurements of the risk factors are observed on a subsample. We extend the multivariate RC techniques to a meta-analysis framework where multiple studies provide independent repeat measurements and information on disease outcome. We consider the cases where some or all studies have repeat measurements, and compare study-specific, averaged and empirical Bayes estimates of RC parameters. Additionally, we allow for binary covariates (e.g. smoking status) and for uncertainty and time trends in the measurement error corrections. Our methods are illustrated using a subset of individual participant data from prospective long-term studies in the Fibrinogen Studies Collaboration to assess the relationship between usual levels of plasma fibrinogen and the risk of coronary heart disease, allowing for measurement error in plasma fibrinogen and several confounders.</p>
DOI10.1002/sim.3530
Alternate JournalStat Med
PubMed ID19222086
PubMed Central IDPMC2930206
Grant ListU01 HL080295-04 / HL / NHLBI NIH HHS / United States
U01 HL080295 / HL / NHLBI NIH HHS / United States
002/02 / / British Heart Foundation / United Kingdom
RG/08/014/24067 / / British Heart Foundation / United Kingdom
U01 HL080295-01 / HL / NHLBI NIH HHS / United States
U01 HL080295-03 / HL / NHLBI NIH HHS / United States
U01 HL080295-02 / HL / NHLBI NIH HHS / United States
MC_U105260792 / / Medical Research Council / United Kingdom
MC_U105260558 / / Medical Research Council / United Kingdom