Buckley-James-type estimator with right-censored and length-biased data.

ABSTRACT: We present a natural generalization of the Buckley-James-type estimator for traditional survival data to right-censored length-biased data under the accelerated failure time (AFT) model. Length-biased data are often encountered in prevalent cohort studies and cancer screening trials. Informative right censoring induced by length-biased sampling creates additional challenges in modeling the effects of risk factors on the unbiased failure times for the target population. In this article, we evaluate covariate effects on the failure times of the target population under the AFT model given the observed length-biased data. We construct a Buckley-James-type estimating equation, develop an iterative computing algorithm, and establish the asymptotic properties of the estimators. We assess the fini

SUBMITTER: Ning J 

PROVIDER: S-EPMC3137763 | biostudies-literature | 2011 Dec

REPOSITORIES: biostudies-literature