2011
DOI: 10.1214/10-aoas424
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The effect of winning an Oscar Award on survival: Correcting for healthy performer survivor bias with a rank preserving structural accelerated failure time model

Abstract: We study the causal effect of winning an Oscar Award on an actor or actress's survival. Does the increase in social rank from a performer winning an Oscar increase the performer's life expectancy? Previous studies of this issue have suffered from healthy performer survivor bias, that is, candidates who are healthier will be able to act in more films and have more chance to win Oscar Awards. To correct this bias, we adapt Robins' rank preserving structural accelerated failure time model and g-estimation method.… Show more

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Cited by 22 publications
(14 citation statements)
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“…Indeed, winners of a Nobel Prize or an Oscar Award have also been shown to have superior life expectancy as compared with the general population. 24,25 Although the study by Garatachea et al 23 cannot be used to completely exonerate chronic extreme endurance exercise, it at least reassures us that previous high-level physical exertion among young elite athletes does not seem to adversely affect their life expectancy.…”
mentioning
confidence: 97%
“…Indeed, winners of a Nobel Prize or an Oscar Award have also been shown to have superior life expectancy as compared with the general population. 24,25 Although the study by Garatachea et al 23 cannot be used to completely exonerate chronic extreme endurance exercise, it at least reassures us that previous high-level physical exertion among young elite athletes does not seem to adversely affect their life expectancy.…”
mentioning
confidence: 97%
“…The proposed approach is applied to the Oscar Awards data analyzed and compiled by Redelmeier and Singh (2001). The dataset could be found in Han et al (2011), where a detailed description is given. It is a list of all 766 nominees for Oscar awards from 1929 to 2000, and only 327 died before the study ended.…”
Section: Real Datamentioning
confidence: 99%
“…This means that the censoring ratio is about 57.3%. Han et al [15] elaborated the description of the Oscar data. Let A be the time between the performer's birth year and the year of the first Oscar nomination, and Y be the time from birth to death.…”
Section: Application To Oscar Datamentioning
confidence: 99%