Abstract Details
Activity Number:
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534
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Type:
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Invited
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Date/Time:
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Wednesday, August 6, 2014 : 2:00 PM to 3:50 PM
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Sponsor:
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Biopharmaceutical Section
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Abstract #310560
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View Presentation
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Title:
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Vaccine Efficacy: The Virion's Perspective
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Author(s):
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Dean Follmann*+ and Chiung-Yu Huang
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Companies:
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NIAID and Johns Hopkins University
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Keywords:
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Cox Regressiont ;
Empirical Processes ;
HIV ;
Horvitz-Thompson Estimator ;
Martingale
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Abstract:
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Traditional vaccine clinical trials use the time to consequential human infection as the primary endpoint. A common method of analysis for such trials is to compare the times to infection between the vaccine and placebo groups using a Cox regression model. With new technology we can additionally record the precise number of virions that cause infectoin, say X, rather than just the indicator of infection, X>0. In this paper we develop a unified approach for randomized placebo controlled vaccine trials that couples the time to infection with the number of infecting or founder viruses. We assume that the time from randomization to a potentially infectious exposure follows the same proportional hazards model in both the placebo and vaccine groups. We allow unspecified distributions for X=0,1,2,... We denote the placebo and vaccine means of X by M, M D respectively. Thus 1- D is a measures the proportion reduction in the mean number of infecting virions due to vaccination. We develop different semi-parametric methods of estimating D which is based on the Xs from all potentially infectious encounters, even though potentially infectious encounters that result in no in
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Authors who are presenting talks have a * after their name.
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