Online Program Home
  My Program

Abstract Details

Activity Number: 137 - New Advances in Statistical Methods for Complex Data
Type: Invited
Date/Time: Monday, July 31, 2017 : 10:30 AM to 12:20 PM
Sponsor: International Chinese Statistical Association
Abstract #322059 View Presentation
Title: Regression Analysis of Multivariate Failure Time Data
Author(s): Ross L Prentice* and Shanshan Zhao
Companies: Fred Hutchinson Cancer Research Center and National Institute of Environmental Health Sciences
Keywords: Censoring ; Cox model ; Failure times ; Multivariate ; Regression ; Semi-parametric

Censored multivariate failure time data arise in many application areas. These data include both multiple time-to-respons measurements on individual study subjects, and correlated responses among study subjects. This talk is concerned with marginal methods for relating multivariate failure rates to corresponding regression variables, that may be evolving over time. Frailty methods are not so well suited to marginal estimation problems, because marginal failure time distributions involve frailty distribution parameters. Copula methods, which specify a joint distribution for cumulative hazard variates having a standardized distribution avoid this problem, but tend to lack flexibility and are not well suited to the inclusion of time-varying covariates. Hence, in this talk we will discuss models and estimation procedures for marginal hazard rate regression models and complementary dependency functions regression models. In the bivariate failure time special case both cross ratio regression models and covariance rate regression models will be considered for dependency modeling. Dependency modeling possibilities for higher dimensions failure time regression data will also be considered.

Authors who are presenting talks have a * after their name.

Back to the full JSM 2017 program

Copyright © American Statistical Association