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Activity Number:
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488
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Type:
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Contributed
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Date/Time:
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Thursday, August 7, 2008 : 8:30 AM to 10:20 AM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #300930 |
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Title:
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Using Marginal Structural Model To Adjust for Post-Study Treatment
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Author(s):
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Yanping Wang*+ and Shengyan Hong and Min Zhang
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Companies:
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Eli Lilly and Company and Eli Lilly and Company and North Carolina State University
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Address:
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14281 Chariots Whisper Dr., Westfield, IN, 46074,
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Keywords:
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cancer clinical trials ; causal inference ; survival analysis
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Abstract:
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Comparison of survival between treatment arms in randomized cancer clinical trials is often complicated by post-study treatment (PST). Recently, the marginal structural model (MSM) proposed by Robins has been used by several authors to adjust for the effect of PST so the estimated treatment arm effects have the desired causal interpretation. Though theoretically appealing, this approach needs to be further evaluated in this setting. We conducted simulations to evaluate the performance of this approach under different situations.
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