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Abstract Details
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Activity Number:
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598
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Type:
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Invited
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Date/Time:
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Thursday, August 4, 2011 : 8:30 AM to 10:20 AM
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Sponsor:
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SSC
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| Abstract - #300162 |
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Title:
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Efficacy Estimation Using Parametric (Log-Normal) Framework for Meta-Analyses
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Author(s):
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Judy-Anne W. Chapman*+
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Companies:
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NCIC Clinical Trials Group
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Address:
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Queen's University, Kingston, ON, K7L 3N6, Canada
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Keywords:
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parametric survival analysis ;
meta-analysis ;
Cox ;
Kaplan-Meier
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Abstract:
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Increased worldwide collaboration amongst clinical trialists is leading to more opportunities for meta-analyses. To this point in time, standard clinical trial assumptions of proportional hazards with use of log-rank tests, and Cox regressions have been carried over into the meta-analysis setting. There is mounting evidence that such an assumption may lead to misspecification of model, the magnitude of effect on estimation in such a situation is largely unknown. ACCENT, the world's largest adjuvant colon cancer database, was used in investigations of a parametric (log-normal) framework and efficacy estimates were compared to those obtained with Cox model and Kaplan-Meier.
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