Abstract Details
Activity Number:
|
644
|
Type:
|
Contributed
|
Date/Time:
|
Thursday, August 13, 2015 : 8:30 AM to 10:20 AM
|
Sponsor:
|
Section on Bayesian Statistical Science
|
Abstract #315035
|
|
Title:
|
A Bayesian Hierarchical Model with Novel Prior Specifications for Estimating HIV Testing Rate
|
Author(s):
|
Qian An* and Jian Kang and Ruiguang Song and Irene Hall
|
Companies:
|
CDC and Emory University and CDC and CDC
|
Keywords:
|
HIV testing rate ;
Bayesian hierarchical model ;
Temporal dependence ;
Adaptive rejection metropolis sampling
|
Abstract:
|
We propose a Bayesian hierarchical model with two levels of hierarchy to estimate the HIV testing rate using annual AIDS and HIV diagnoses data. At level one, we model the latent numbers of HIV infections for each year using a Poisson distribution with the intensity parameter representing the HIV incidence rate. At level two, the annual number of AIDS and HIV diagnosed cases and all undiagnosed cases stratified by the HIV infections at different years are modeled using a multinomial distribution with parameters including the HIV testing rate. We propose a new class of prior for the HIV incidence rate and HIV testing rate taking into account the temporal dependence of these parameters to improve the estimation accuracy. We develop an efficient posterior computation algorithm based on the adaptive rejection sampling technique. We demonstrate our model using simulation studies.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2015 program
|
For program information, contact the JSM Registration Department or phone (888) 231-3473.
For Professional Development information, contact the Education Department.
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
2015 JSM Online Program Home
ASA Meetings Department
732 North Washington Street, Alexandria, VA 22314
(703) 684-1221 • meetings@amstat.org
Copyright © American Statistical Association.