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Activity Number:
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234
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, July 31, 2007 : 8:30 AM to 10:20 AM
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Sponsor:
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Biometrics Section
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| Abstract - #308864 |
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Title:
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Correcting for Survivor Treatment-Selection Bias with a Structural Failure-Time Model: Survival in Oscar Award--Winning Performers
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Author(s):
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Xu Han*+ and Dylan Small and Vishal Patel and Dean Foster
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Companies:
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University of Pennsylvania and University of Pennsylvania and University of Pennsylvania and University of Pennsylvania
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Address:
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400 Jon M Huntsman 3730 Walnut Street, Philadelphia, PA, 19104,
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Keywords:
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survival analysis ; causal inference ; structural failure time model ; G-estimation
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Abstract:
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We study the causal effect of winning an Oscar Award on an actor or actresses' survival. Does the increase in stature from a performer winning an Oscar increase the performer's life expectancy? Previous studies of this issue have suffered from survivor treatment selection bias, that is, candidates will have more chance to win Oscar Awards if they live longer, and winning Oscar Awards at a certain age is also an indicator of health status. To correct this bias, we adapt Robins' rank preserving structural failure time model and G-estimation method. We show in simulation studies that our approach corrects the survivor treatment selection bias contained in other approaches and apply our model to the Oscar data.
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