Transformation model estimation of survival under dependent truncation and independent censoring.

ABSTRACT: Truncation is a mechanism that permits observation of selected subjects from a source population; subjects are excluded if their event times are not contained within subject-specific intervals. Standard survival analysis methods for estimation of the distribution of the event time require quasi-independence of failure and truncation. When quasi-independence does not hold, alternative estimation procedures are required; currently, there is a copula model approach that makes strong modeling assumptions, and a transformation model approach that does not allow for right censoring. We extend the transformation model approach to accommodate right censoring. We propose a regression diagnostic for assessment of model fit. We evaluate the proposed transformation model in simulations and appl

SUBMITTER: Chiou SH 

PROVIDER: S-EPMC6565507 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature