Abstract Details
Activity Number:
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489
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 6, 2014 : 10:30 AM to 12:20 PM
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Sponsor:
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International Chinese Statistical Association
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Abstract #312090
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View Presentation
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Title:
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Two Sample Inferences for Differences in Survival at a Fixed Time Point with Small Sample Sizes
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Author(s):
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Michael Fay*+ and Michael A. Proschan and Erica Brittain
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Companies:
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National Institute of Allergy and Infectious Diseases and National Institute of Allergy and Infectious Diseases and National Institute of Allergy and Infectious Diseases
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Keywords:
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clinical trials ;
exact tests ;
fixed-time survival ;
Kaplan-Meier ;
survival analysis
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Abstract:
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When comparing survival between a harsh treatment and a standard one, early treatment related failures can make logrank-type tests inappropriate. A better option is to compare survival at a pre-specified fixed time, representing a longer term survival. We develop a test and associated confidence intervals for the difference in survival at a fixed time. The methods are developed without relying on asymptotics, and all simulations and mathematical results suggest that the tests bound the type I error rate and confidence intervals provide at least nominal coverage with any independent censoring distribution. For the special case of no censoring, the one-sided p-value from the test is equivalent to Fisher's exact test p-value. The confidence intervals on the difference in survival match the test, so that if the 100(1-alpha)% confidence interval does not contain a difference of 0, then the test rejects at level alpha.
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Authors who are presenting talks have a * after their name.
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