JSM 2004 - Toronto

Abstract #300042

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Activity Number: 416
Type: Invited
Date/Time: Thursday, August 12, 2004 : 10:30 AM to 12:20 PM
Sponsor: WNAR
Abstract - #300042
Title: Semiparametric Box-Cox Power Transformation Models for Censored Survival Observations
Author(s): Tianxi Cai*+
Companies: Harvard University
Address: Dept. of Biostatistics, Boston, MA, 02115,
Keywords: accelerated failure-time model ; prediction ; resampling method ; simultaneous confidence interval
Abstract:

The accelerated failure time model specifies that the logarithm of the failure time is linearly related to the covariate vector without assuming a parametric error distribution. We consider the semiparametric Box-Cox transformation model, which includes the above regression model as a special case, to analyse possibly censored failure time observations. Inference procedures for the transformation and regression parameters are proposed via a resampling technique. Prediction of the survival function of future subjects with a specific covariate vector is also provided via pointwise and simultaneous interval estimates. All the proposals are illustrated with the datasets from two clinical studies.

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Revised March 2004