Mark-specific proportional hazards model with multivariate continuous marks and its application to HIV vaccine efficacy trials.

ABSTRACT: For time-to-event data with finitely many competing risks, the proportional hazards model has been a popular tool for relating the cause-specific outcomes to covariates (Prentice and others, 1978. The analysis of failure time in the presence of competing risks. Biometrics 34, 541-554). Inspired by previous research in HIV vaccine efficacy trials, the cause of failure is replaced by a continuous mark observed only in subjects who fail. This article studies an extension of this approach to allow a multivariate continuum of competing risks, to better account for the fact that the candidate HIV vaccines tested in efficacy trials have contained multiple HIV sequences, with a purpose to elicit multiple types of immune response that recognize and block different types of HIV viruses. We develop i

SUBMITTER: Sun Y 

PROVIDER: S-EPMC3520499 | biostudies-literature | 2013 Jan

REPOSITORIES: biostudies-literature