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Typically, case‐control studies to estimate odds‐ratios associating risk factors with disease incidence only include newly diagnosed cases. Recently proposed methods allow incorporating information on prevalent cases, individuals who survived from disease diagnosis to sampling, into cross‐sectionally sampled case‐control studies under parametric assumptions for the survival time after diagnosis. Here...
For the past several decades, nonparametric and semiparametric modeling for conventional right-censored survival data has been investigated intensively under a noninformative censoring mechanism. However, these methods may not be applicable for analyzing right-censored survival data that arise from prevalent cohorts when the failure times are subject to length-biased sampling. This review article...
Summary. Testing the equality of two survival distributions can be difficult in a prevalent cohort study when non‐random sampling of subjects is involved. Owing to the biased sampling scheme, the independent censoring assumption is often violated. Although the issues about biased inference caused by length‐biased sampling have been widely recognized in the statistical, epidemiological and economical...
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