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Abstract Details
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Activity Number:
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582
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Type:
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Contributed
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Date/Time:
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Wednesday, August 3, 2011 : 2:00 PM to 3:50 PM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #302392 |
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Title:
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Performance of Corrected Profile Likelihood Confidence Interval for Binomial Paired Incomplete Data
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Author(s):
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Sandeep M. Menon*+
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Companies:
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Pfizer Inc.
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Address:
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73 Walnut Street, Newton, MA, 02460, USA
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Keywords:
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confidence interval ;
binomial ;
paird ;
incomplete ;
coverage probability
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Abstract:
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Clinical trials often use paired binomial data as their clinical endpoint. The confidence interval is frequently used to estimate the treatment performance. Tang et al (2009) have proposed exact and approximate unconditional methods for constructing confidence interval in the presence of incomplete paired binary data. The approach proposed by Tang et al could be overly conservative with large expected confidence interval width (EXIW) when the sample size are large which is true in most clinical trials. We propose a profile likelihood method with a Jeffrey's prior correction to construct the confidence interval. This approach generates confidence interval with much better coverage probability and shorter expected confidence interval widths. SAS codes to execute this method is also presented.
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Authors who are presenting talks have a * after their name.
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