JSM 2005 - Toronto

Abstract #304648

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Activity Number: 89
Type: Topic Contributed
Date/Time: Monday, August 8, 2005 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract - #304648
Title: On the Accelerated Failure Time Model for Current Status and Interval Censored Data
Author(s): Lu Tian*+ and Tianxi Cai
Companies: Northwestern University and Harvard University
Address: 680 N Lake Shore Drive, Chicago, IL, 60611, United States
Keywords: accelerated failure time model ; current status ; interval censoring ; nonparametric maximum likelihood ; MCMC
Abstract:

This paper introduces a novel approach to making inference about the regression parameters in the accelerated failure time (AFT) model for current status and interval-censored data. The estimator is constructed by inverting a Wald-type test for testing a null proportional hazards model. A numerically efficient Markov chain Monte Carlo (MCMC)-based resampling method is proposed to simultaneously obtain the point estimator and a consistent estimator of its variance-covariance matrix. We illustrate our approach with interval-censored datasets from two clinical studies. Extensive numerical studies are conducted to evaluate the finite sample performance of the new estimators.

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Revised March 2005