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Abstract Details
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Activity Number:
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531
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Type:
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Roundtables
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Date/Time:
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Wednesday, August 3, 2011 : 12:30 PM to 1:50 PM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #301344 |
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Title:
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Identifying Treatment-Effect Heterogeneity in Clinical Trials Using Subpopulation Treatment Effect Pattern Plots
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Author(s):
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Ann A. Lazar*+ and Wai-ki Yip and Bernard F. Cole and Marco Bonetti and Richard D. Gelber
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Companies:
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University of California at San Francisco and Harvard School of Public Health and University of Vermont and Bocconi University and Harvard School of Public Health/Dana-Farber Cancer Institute
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Address:
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3333 California Street Ste 495, San Francisco, CA, 94119, USA
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Keywords:
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Competing Risks ;
Biomarkers ;
Kaplan-Meier ;
Breast Cancer ;
Hazard Ratio ;
Interaction
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Abstract:
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This session will focus on how to identify whether a subgroup of patients responds differently to a treatment than the overall population. In particular, we will discuss Subpopulation Treatment Effect Pattern Plots (STEPP), an intuitive graphical method designed to evaluate treatment-effect heterogeneity. The results from STEPP enhance the interpretation of clinical trial results needed for making individual patient decisions. Examples from a Phase III clinical trial will be included along with the associated code from the R STEPP software package.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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