Pulse lineResearch With Heart Logo

Using the whole cohort in the analysis of case-cohort data.

TitleUsing the whole cohort in the analysis of case-cohort data.
Publication TypeJournal Article
Year of Publication2009
AuthorsBreslow NE, Lumley T, Ballantyne CM, Chambless LE, Kulich M
JournalAm J Epidemiol
Volume169
Issue11
Pagination1398-405
Date Published2009 Jun 01
ISSN1476-6256
KeywordsBiomarkers, Calibration, Cohort Studies, Coronary Artery Disease, Epidemiologic Methods, Female, Genotype, Humans, Linear Models, Male, Observation, Proportional Hazards Models, Risk Factors, Sampling Studies
Abstract

Case-cohort data analyses often ignore valuable information on cohort members not sampled as cases or controls. The Atherosclerosis Risk in Communities (ARIC) study investigators, for example, typically report data for just the 10%-15% of subjects sampled for substudies of their cohort of 15,972 participants. Remaining subjects contribute to stratified sampling weights only. Analysis methods implemented in the freely available R statistical system (http://cran.r-project.org/) make better use of the data through adjustment of the sampling weights via calibration or estimation. By reanalyzing data from an ARIC study of coronary heart disease and simulations based on data from the National Wilms Tumor Study, the authors demonstrate that such adjustment can dramatically improve the precision of hazard ratios estimated for baseline covariates known for all subjects. Adjustment can also improve precision for partially missing covariates, those known for substudy participants only, when their values may be imputed with reasonable accuracy for the remaining cohort members. Links are provided to software, data sets, and tutorials showing in detail the steps needed to carry out the adjusted analyses. Epidemiologists are encouraged to consider use of these methods to enhance the accuracy of results reported from case-cohort analyses.

DOI10.1093/aje/kwp055
Alternate JournalAm J Epidemiol
PubMed ID19357328
PubMed Central IDPMC2768499
Grant ListN01HC55020 / HL / NHLBI NIH HHS / United States
N01-HC-555019 / HC / NHLBI NIH HHS / United States
N01HC55018 / HL / NHLBI NIH HHS / United States
N01-HC-55-15 / HC / NHLBI NIH HHS / United States
N01-HC-55022 / HC / NHLBI NIH HHS / United States
R01-CA-054498 / CA / NCI NIH HHS / United States
N01-HC-55016 / HC / NHLBI NIH HHS / United States
R01 CA040644 / CA / NCI NIH HHS / United States
N01HC55022 / HL / NHLBI NIH HHS / United States
N01-HC-55021 / HC / NHLBI NIH HHS / United States
N01-HC-55020 / HC / NHLBI NIH HHS / United States
N01HC55016 / HL / NHLBI NIH HHS / United States
R01 CA054498 / CA / NCI NIH HHS / United States
R01-CA-40644 / CA / NCI NIH HHS / United States
N01-HC-55018 / HC / NHLBI NIH HHS / United States
N01HC55021 / HL / NHLBI NIH HHS / United States