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American Journal of Epidemiology Advance Access originally published online on August 20, 2007
American Journal of Epidemiology 2007 166(7):861-862; doi:10.1093/aje/kwm229
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American Journal of Epidemiology © The Author 2007. Published by the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oxfordjournals.org.

LETTERS TO THE EDITOR

RE: "CONFIDENCE INTERVALS FOR BIOMARKER-BASED HUMAN IMMUNODEFICIENCY VIRUS INCIDENCE ESTIMATES AND DIFFERENCES USING PREVALENT DATA"

Stephen R. Cole and Haitao Chu

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD

(e-mail: scole@jhsph.edu)

The first 10% of the full text of this article appears below.

We recently reported on the estimation of confidence intervals for biomarker-based human immunodeficiency virus (HIV) incidence estimates and differences using prevalent data (1). There is a growing interest in the use of Bayesian methods in epidemiology (2). Our proposed Monte Carlo method (1) can be viewed as a semi-Bayes approach, with prior information on the duration T between positive highly sensitive and . . . [Full Text of this Article]


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