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Abstract Details
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Activity Number:
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520
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Type:
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Contributed
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Date/Time:
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Wednesday, August 3, 2011 : 10:30 AM to 12:20 PM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #301194 |
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Title:
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Proposed Conditional Probability Statistical Model for Recurrent Events with Application to Hypoglycemia Data in Diabetes Clinical Trials
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Author(s):
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Xiaodan Wei*+
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Companies:
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sanofi-aventis
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Address:
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200 crossing blvd, Bridgewater, NJ, 07921,
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Keywords:
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Recurrent event ;
Hypoglycemia ;
conditional probability
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Abstract:
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We propose a statistical model handling binary data at each time point and allowing the certain correlation structure between time points based on the conditional probability of previous event. Simulation results will be provided to compare various models on Empirical Significance Level (ESL) and power performance of fitting recurrent events data using different testing method, including: Poisson, Negative binomial model, Poisson GEE, CMF (cumulative mean function) using robust variance estimate, CMF with previous event information as covariate, using robust variance estimate and our proposed method. Then we discuss the advantages and disadvantages of using each method on event count with application to the hypoglycemia events from diabetes clinical trials.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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