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This is the preliminary program for the 2007 Joint Statistical Meetings in Salt Lake City, Utah.

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Activity Number: 246
Type: Contributed
Date/Time: Tuesday, July 31, 2007 : 8:30 AM to 10:20 AM
Sponsor: Biopharmaceutical Section
Abstract - #310367
Title: Comparison of Methods for Handling Early Dropouts in Analysis of Event Rates
Author(s): Yuting Zhang*+
Companies: Amgen Inc.
Address: 1120 Veterans Blvd., South San Francisco, CA, 94080,
Keywords: Dropouts ; Event rates
Abstract:

To compare event rates or subject incidence rates in different treatment groups is a common analysis in medical research with fixed treatment duration. The issue of early dropouts is a big challenge to obtain the unbiased estimates of event rate. The widely used worse case analysis (treating dropout as event) or responder analysis (ignoring the dropouts) may result in underestimating or overestimating the event rates. In this paper, we compared different methods, such as the worst case imputation methods, Kaplan-Meier estimation, multiple imputations, etc. to handle the early dropouts through a simulation study. The different dropout mechanism was also considered.

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Revised September, 2007