Effects of missing data on outcome-dependent sampling methods for longitudinal cohorts with binary data
With the increasing availability of longitudinal cohort study data and associated biospec- imen libraries, retrospective testing of stored samples to address hypotheses beyond the original aims of the cohort study has become more common. Outcome-dependent sampling (ODS) methods have been developed as an alternative to random sampling, to identify more powerful subsets of cohort participants when testing all available samples is not feasible. In the setting that cost of desired testing is prohibitive or preservation of available samples is desired, available data can inform the choice of a ...
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