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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: 369
Type: Topic Contributed
Date/Time: Wednesday, August 1, 2007 : 8:30 AM to 10:20 AM
Sponsor: Biopharmaceutical Section
Abstract - #309253
Title: A Study of Bioequivalence Trials with Missing Data
Author(s): Yiyun Zhang*+
Companies: The Pennsylvania State University
Address: 325 Thomas Building, University Park, PA, 16802,
Keywords: Bioequivalence ; Crossover design ; Missing data ; Clinical trials
Abstract:

In a bioequivalence trial, missing data are very likely to occur for various reasons. Traditional treatment for missing data is simply dropping those data with missing and performs tests on the rest of the data. Obviously this throws away valuable information and is not efficient. It is of interest how the missing data problem affects the results, e.g. the power of the tests, etc. Many methods under different settings have been proposed in the literature, for example in Lee et al. (2005) and Lim et al. (2005), etc. Simulation studies are performed using SAS PROC IML for both 2 by 2 and 3 by 3 designs.


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Revised September, 2007