This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 536
Type: Contributed
Date/Time: Wednesday, August 4, 2010 : 10:30 AM to 12:20 PM
Sponsor: Section on Bayesian Statistical Science
Abstract - #307949
Title: A Bayesian Generalized Linear Mixed Model for HIV-1 Vaccine Immune Response with Missing Data
Author(s): Sydeaka Patrice Watson*+ and John Seaman and James Stamey and Bette Korber and Mark Muldoon
Companies: Baylor University and Baylor University and Baylor University and Los Alamos National Laboratory and University of Manchester
Address: Baylor Univ Dept of Statistical Science, Waco, TX, 76798-7140,
Keywords: HIV-1 ; Bayesian ; Poisson ; generalized linear mixed model ; missing data
Abstract:

Genetic diversity is a challenge that the scientific community must overcome before the development of a global HIV-1 vaccine is realized. Two vaccine strategies addressing genetic diversity, namely HIV-1 global consensus envelope sequence (CON-M) and polyvalent vaccine antigens (Mosaic), have been shown to increase the number of positive immune responses in vaccinated monkeys exposed to HIV-1. We compare the CON-M and Mosaic vaccine immune responses in an animal study using a Bayesian generalized linear mixed model for Poisson counts. We compare the conclusions to those resulting from the analogous frequentist case and address missing data considerations.


The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.

Back to the full JSM 2010 program




2010 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.