Activity Number:
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23
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Type:
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Contributed
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Date/Time:
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Sunday, August 11, 2002 : 2:00 PM to 3:50 PM
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Sponsor:
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Biopharmaceutical Section*
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Abstract - #301895 |
Title:
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Rank-Based Methods for Clinical Trials With Unbalanced Repeated Measures Data
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Author(s):
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Mushfiquar Rashid*+
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Affiliation(s):
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Food and Drug Administration
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Address:
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5600 Fishers Lane, HFD-715, Rockville, Maryland, 20857, USA
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Keywords:
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Dispersion function ; Gradient vector ; R-estimators ; F-test ; Simulation
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Abstract:
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We develop a rank-based analysis of clinical trials with unbalanced repeated measures data. We assume that the errors within each subject are exchangeable random variables. This rank-based inference is valid when the unbalanced data are missing either completely at random or by design. A drop in dispersion test is developed for general linear hypotheses. A numerical example is given to illustrate the procedure. A small scale simulation study is performed in order to compare the performances of the rank-based test and the normal theory F test.
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