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Abstract Details

Activity Number: 253
Type: Contributed
Date/Time: Monday, July 30, 2012 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract - #306648
Title: Estimating Vaccine Efficacy Using Survival Analysis and a Validation Set for Outcomes
Author(s): Yanjun Chen*+ and Yang Yang and Eben Kenah and M. Elizabeth Halloran
Companies: University of Washington and University of Florida and University of Florida and Fred Hutchinson Cancer Research Center
Address: 1100 Fairview Ave N, M2-C200, Seattle, WA, 98109-1024, United States
Keywords: survival analysis ; missing data ; vaccine efficacy ; MCMC methods

In many vaccine studies, confirmatory diagnosis is made by biological confirmation of the infectious agent of interest. However, often such biological confirmation is available on only a subset of the cases, and a less specific case definition is used, leading to many misclassified cases and attenuated estimates of efficacy. We present methods for using the subset of biologically confirmed cases as a validation set for outcomes when time to event data are available. We use an iterative approach similar to an EM algorithm. The motivating example is the estimation of influenza vaccine efficacy from time to event data when only a subset of the influenza-like illnesses have been biologically confirmed and individuals can have multiple influenza-like illnesses.

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