Abstract #300310

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JSM 2003 Abstract #300310
Activity Number: 133
Type: Contributed
Date/Time: Monday, August 4, 2003 : 12:00 PM to 1:50 PM
Sponsor: Biometrics Section
Abstract - #300310
Title: The Use of a Parametric Model for Informative Censoring
Author(s): Fotios Siannis*+
Companies: MRC Biostatistics Unit
Address: MRC BSU, Institute of Public Health University, Cambridge, CB2 2SR, United Kingdom
Keywords: informative censoring ; sensitivity analysis ; parametric models ; relative risk
Abstract:

We explore the use of a parametric model for analyzing survival data, which is defined to allow sensitivity analysis for the presence of informative censoring. The dependence between the failure and the censoring processes is expressed through a dependence parameter and a general bias function. We calculate the expectation of the potential bias due to informative censoring, which is an overall measure of how misleading our results might be if censoring is actually nonignorable. This leads to bounds for quantities of interest, such as the parameter of the distribution of the failure process, which do not depend on the choice of the bias function. An application that relates to lupus data illustrates how additional information can result in reducing the uncertainty on estimates of the location parameter. Sensitivity analysis on a relative risk parameter is illustrated with an example based on psoriatic arthritis data.

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