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Abstract Details
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Activity Number:
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346
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Type:
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Contributed
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Date/Time:
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Tuesday, July 31, 2012 : 10:30 AM to 12:20 PM
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Sponsor:
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Section for Statistical Programmers and Analysts
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| Abstract - #304958 |
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Title:
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Application of Mitigated Fraction in a Vaccine Study Using SAS
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Author(s):
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Mathew Anthony Rosales*+
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Companies:
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Address:
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6220 Falabella Circle, Kalamazoo, MI, 49009, United States
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Keywords:
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mitigated fraction ;
SAS ;
vaccine study ;
nonclinical trials ;
bootstrap ;
confidence interval
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Abstract:
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Mitigated fraction is frequently used to evaluate the effect of an intervention in reducing the severity of a particular outcome, a common measure in vaccines study. It utilizes rank of the observations and measures the overlap of the two distributions using their stochastic ordering. Percent lung involvement is a common endpoint in vaccines study to assess efficacy, and mitigated fraction is used to estimate the relative increase in probability that a disease will be less severe to the vaccinated group. A SAS macro was develop to estimate the mitigated fraction and its confidence interval. The macro provides an asymptotic confidence interval and a bootstrap-based interval. For illustration, an actual vaccine study was used where the macro was utilized to generate the estimates.
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Authors who are presenting talks have a * after their name.
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