Abstract #301232

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JSM 2003 Abstract #301232
Activity Number: 215
Type: Contributed
Date/Time: Tuesday, August 5, 2003 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract - #301232
Title: Censored Least Absolute Deviation Approach to AFT Model With Multiple Event Time
Author(s): Daqing Zhang*+
Companies: Columbia University
Address: Department of Statistics, New York, NY, 10027,
Keywords: least absolute deviation ; semiparametric model ; AFT model ; pivotal method ; resampling method ; multiple events analysis
Abstract:

Clinical studies often assess the effects of treatment by comparing right censored multiple event times. One of the issues in multiple events analysis envolves the positive correlation amone event times. Generalized from Tobit model for left censored economic data, the least absolute deviation method makes robust statistical inference for Accelerated Failure Model from marginal approach and gives covariance matirx estimate by using resampling method, which avoids the difficulty of estimating the density function of the unknown errors. A real bladder cancer data analysis and simulations are also provided.

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