"Bayesian Inference on Prevalence using a Missing-Data Approach with Simulation-Based Techniques: Applications to HIV Screening."

According to the authors' abstract of an article published in Statistics in Medicine, "Health departments and other health-related authorities seek accurate assessment of the spread of human immunodeficiency virus (HIV) among populations. Although screening for HIV provides a direct means for estimating its prevalence, it is complicated by the heterogeneity of available diagnostic tests and the degree to which they can diagnose HIV accurately. To integrate the limited precision of screening tests with prior results, Bayesian inference becomes a method of choice. Current Bayesian methods, however, have limited applications and do not readily generalize for complicated sampling designs...

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