On the Accelerated Failure Time Model for Current Status and Interval Censored Data

Lu Tian and Tianxi Cai
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Lu Tian: Harvard University
Tianxi Cai: Harvard University

No 1014, Harvard University Biostatistics Working Paper Series from Berkeley Electronic Press

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 data sets from two clinical studies. Extensive numerical studies are conducted to evaluate the finite sample performance of the new estimators.

Keywords: accelerated failure time model; current status data; interval censoring; nonparametric maximum likelihood estimator (NPMLE); MCMC (search for similar items in EconPapers)
Date: 2004-09-01
New Economics Papers: this item is included in nep-ecm
Note: oai:bepress.com:harvardbiostat-1014
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