Secondary outcome analysis for data from an outcome-dependent sampling design.

ABSTRACT: Outcome-dependent sampling (ODS) scheme is a cost-effective way to conduct a study. For a study with continuous primary outcome, an ODS scheme can be implemented where the expensive exposure is only measured on a simple random sample and supplemental samples selected from 2 tails of the primary outcome variable. With the tremendous cost invested in collecting the primary exposure information, investigators often would like to use the available data to study the relationship between a secondary outcome and the obtained exposure variable. This is referred as secondary analysis. Secondary analysis in ODS designs can be tricky, as the ODS sample is not a random sample from the general population. In this article, we use the inverse probability weighted and augmented inverse probability weighte

SUBMITTER: Pan Y 

PROVIDER: S-EPMC6130921 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature