Lifetime Data Anal - Semiparametric methods for center effect measures based on the ratio of survival functions.

Tópicos

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Resumo

The survival function is often of chief interest in epidemiologic studies of time to an event. We develop methods for evaluating center-specific survival outcomes through a ratio of survival functions. The proposed method assumes a center-stratified additive hazards model, which provides a convenient framework for our purposes. Under the proposed methods, the center effects measure is cast as the ratio of subject-specific survival functions under two scenarios: the scenario in which the subject is treated at center [Formula: see text]; and that wherein the subject is treated at a hypothetical center with survival function equal to the population average. The proposed measure reduces to the ratio of baseline survival functions, but is invariant to the choice of baseline covariate level. We derive the asymptotic properties of the proposed estimators, and assess finite-sample characteristics through simulation. The proposed methods are applied to national kidney transplant data.

Resumo Limpo

surviv function often chief interest epidemiolog studi time event develop method evalu centerspecif surviv outcom ratio surviv function propos method assum centerstratifi addit hazard model provid conveni framework purpos propos method center effect measur cast ratio subjectspecif surviv function two scenario scenario subject treat center formula see text wherein subject treat hypothet center surviv function equal popul averag propos measur reduc ratio baselin surviv function invari choic baselin covari level deriv asymptot properti propos estim assess finitesampl characterist simul propos method appli nation kidney transplant data

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