Journal
BIOMETRIKA
Volume 92, Issue 3, Pages 619-632Publisher
OXFORD UNIV PRESS
DOI: 10.1093/biomet/92.3.619
Keywords
accelerated failure time model; prediction; resampling method; simultaneous confidence interval
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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. In this paper, 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 datasets from two clinical studies.
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