A maximum likelihood method for secondary analysis of nested case-control data
Agus Salim, Xiangmei Ma, Jialiang Li, Marie Reilly
Statistics in Medicine | WILEY | Published : 2014
Many epidemiological studies use a nested case-control (NCC) design to reduce cost while maintaining study power. Because NCC sampling is conditional on the primary outcome, routine application of logistic regression to analyze a secondary outcome will generally be biased. Recently, many studies have proposed several methods to obtain unbiased estimates of risk for a secondary outcome from NCC data. Two common features of all current methods requires that the times of onset of the secondary outcome are known for cohort members not selected into the NCC study and the hazards of the two outcomes are conditionally independent given the available covariates. This last assumption will not be plau..View full abstract
Awarded by National Medical Research Council (NMRC) Singapore
Awarded by Swedish Cancer Society (Cancerfonden)
The National Medical Research Council (NMRC) Singapore with grant number 1261/2010 and the Swedish Cancer Society (Cancerfonden) with grant number 11 0343 have funded this work. We would like to thank two anonymous reviewers whose constructive comments have greatly improved the quality of this article.