Abstract #300895

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JSM 2003 Abstract #300895
Activity Number: 417
Type: Contributed
Date/Time: Wednesday, August 6, 2003 : 2:00 PM to 3:50 PM
Sponsor: Section on Teaching of Statistics in the Health Sciences
Abstract - #300895
Title: Censored Observations: Teaching Self-Consistency Equations
Author(s): Patrick M. Tarwater*+
Companies: University of Texas
Address: Dept. of Biostatistics, El Paso, TX, 79902-4129,
Keywords: censoring ; survival analysis ; self-consistency ; teaching
Abstract:

Teaching survival analysis in the health sciences to nonstatistical graduate- level students (e.g., research MDs, public health scientists) typically includes a discussion of censored observations followed by presentation of product limit estimation, log-rank test, and Cox proportional hazard models. In an attempt to more appropriately understand the assumption associated with a censored observation (i.e., "withdrawals are subject to the same risks after withdrawal as those remaining under observation"), a description and application of Efron's self-consistency equations are taught prior to the typical lectures sited above. This topic should emphasize the equality of the estimator to the product limit estimator as well as "show" the redistribution of withdrawals across the subsequently observed event times. A good understanding of this assumption will also help health scientist researchers understand more complicated competing risks models.

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