This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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513
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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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Biopharmaceutical Section
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| Abstract - #307825 |
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Title:
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Comparing Proportions of Extremely Rare Events of Uncertain Status with Applications to Vaccine Safety Studies
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Author(s):
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Hongyuan Cao*+ and Lisa M. LaVange and Joseph Heyse and Michael Kosorok
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Companies:
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The University of North Carolina at Chapel Hill and The University of North Carolina at Chapel Hill and Merck Research Laboratories and The University of North Carolina at Chapel Hill
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Address:
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Department of Statistics and Operations Research, Chapel Hill, NC, 27599,
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Keywords:
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Poisson approximation ;
vaccine studies
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Abstract:
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We generalize the logrank statistic to the extremely rare setting where only a small number of events are observed and the events have uncertain status. In this setting, the limiting distribution is not Guassian but, rather, a ratio of Poisson random variables. We borrow a Bayesian idea to develop a frequentist valid testing procedure for comparing the intensity difference between two populations. Both numerical and asymptotic properties of the procedure are studied. This testing procedure is applied to a post-market safety study of a vaccine.
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Authors who are presenting talks have a * after their name.
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