Title | Correcting for multivariate measurement error by regression calibration in meta-analyses of epidemiological studies. |
Publication Type | Journal Article |
Year of Publication | 2009 |
Corporate/Institutional Authors | Fibrinogen Studies Collaboration, |
Journal | Stat Med |
Volume | 28 |
Issue | 7 |
Pagination | 1067-92 |
Date Published | 2009 Mar 30 |
ISSN | 0277-6715 |
Keywords | Bias, 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> |
DOI | 10.1002/sim.3530 |
Alternate Journal | Stat Med |
PubMed ID | 19222086 |
PubMed Central ID | PMC2930206 |
Grant List | U01 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 |