This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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536
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Type:
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Contributed
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Date/Time:
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Wednesday, August 4, 2010 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Bayesian Statistical Science
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Abstract - #309398 |
Title:
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Bayesian Extension of Fisher's Exact Test in the Presence of Missing Data
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Author(s):
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Heather Yan Lin*+ and Stuart R. Lipsitz and Debajyoti Sinha and Garrett Fitzmaurice and Stephen Lipshutlz and J. Jack Lee
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Companies:
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MD Anderson Cancer Center and Brigham and Women's Hospital and Florida State University and Harvard Medical School and University of Miami Miller School of Medicine and MD Anderson Cancer Center
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Address:
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1400 Pressler Dr., Houston, TX, 77030,
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Keywords:
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Dirichlet prior ;
Gibbs sampler ;
Ignorable missing data
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Abstract:
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Altham (1969) showed that a one-sided p-value from Fisher's exact test of independence in 2 x 2 contingency tables is equal to the posterior probability of negative association in a 2 x 2 contingency table under a Bayesian analysis using an improper prior. Using the same Bayesian perspective, we derive an extension of the Fisher's exact test p-value in the presence of missing data, assuming the missing data mechanism is ignorable. We use a simulation study to explore the power and Type I error rate of our proposed test. An example, using data on the association between blood pressure and a cardiac enzyme, is presented to illustrate the methods.
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Authors who are presenting talks have a * after their name.
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