This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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469
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Type:
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Contributed
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Date/Time:
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Wednesday, August 4, 2010 : 8:30 AM to 10:20 AM
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Sponsor:
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Biopharmaceutical Section
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Abstract - #307167 |
Title:
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A 'Paradox' in the Use of an ANCOVA Model in Determination of Treatment Effect in Clinical Trials
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Author(s):
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Chi-Hse Teng*+ and Larry Z. Shen and Ping Yan
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Companies:
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Amylin Pharmaceuticals and Amylin Pharmaceuticals and Amylin Pharmaceuticals
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Address:
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, , ,
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Keywords:
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ANCOVA model ;
Paradox ;
Clinical trials ;
Lsmeans ;
Treatment Effect
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Abstract:
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An ANCOVA model adjusted for baseline values of response variable and stratification factors (used for randomization) are commonly used to determine the treatment effect in an efficacy endpoint in diabetes clinical trials. The within-treatment effect is often reported to be the LS mean of a treatment derived from the model. However, in some cases, the LS mean of a treatment derived from the model can be out of the range of within-stratification-factor treatment means or LS means from subgroup analyses. This raises the concern about the interpretability and validity of the LS means of the within-treatment effect and the model. We will present a general formula that quantifies the condition under which these circumferences can occur and discuss factors that contribute to this condition. Statistical recommendations including alternative model approaches will be provided.
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