Document Detail


Using the whole cohort in the analysis of case-cohort data.
MedLine Citation:
PMID:  19357328     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
Norman E Breslow; Thomas Lumley; Christie M Ballantyne; Lloyd E Chambless; Michal Kulich
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural     Date:  2009-04-08
Journal Detail:
Title:  American journal of epidemiology     Volume:  169     ISSN:  1476-6256     ISO Abbreviation:  Am. J. Epidemiol.     Publication Date:  2009 Jun 
Date Detail:
Created Date:  2009-05-14     Completed Date:  2009-06-16     Revised Date:  2013-06-04    
Medline Journal Info:
Nlm Unique ID:  7910653     Medline TA:  Am J Epidemiol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1398-405     Citation Subset:  IM    
Affiliation:
Department of Biostatistics, University of Washington, Seattle, Washington 98195-7232, USA. norm@u.washington.edu
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MeSH Terms
Descriptor/Qualifier:
Biological Markers / analysis
Calibration
Cohort Studies*
Coronary Artery Disease / epidemiology*,  ethnology,  genetics
Epidemiologic Methods*
Female
Genotype
Humans
Linear Models
Male
Observation
Proportional Hazards Models
Risk Factors
Sampling Studies
Grant Support
ID/Acronym/Agency:
N01-HC-55-15/HC/NHLBI NIH HHS; N01-HC-55016/HC/NHLBI NIH HHS; N01-HC-55018/HC/NHLBI NIH HHS; N01-HC-55020/HC/NHLBI NIH HHS; N01-HC-55021/HC/NHLBI NIH HHS; N01-HC-55022/HC/NHLBI NIH HHS; N01-HC-555019/HC/NHLBI NIH HHS; R01 CA040644/CA/NCI NIH HHS; R01 CA054498/CA/NCI NIH HHS; R01-CA-054498/CA/NCI NIH HHS; R01-CA-40644/CA/NCI NIH HHS
Chemical
Reg. No./Substance:
0/Biological Markers
Comments/Corrections

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