Pooled Testing for Hiv Prevalence Estimation - Softcover

Exploiting The Dilution Effect

 
9781334537608: Pooled Testing for Hiv Prevalence Estimation

Synopsis

This book explores a parametric estimation procedure that estimates the prevalence of HIV from pooled samples. It combines various samples into a pool and tests the pool, rather than testing each individually. Existing pooled testing procedures estimate the prevalence using dichotomous test outcomes, which can eliminate useful information. To overcome this, the author develops a parametric procedure that utilizes continuous outcomes. This procedure employs a hierarchical pooling model and calculates prevalence using the likelihood equation. The likelihood equation is solved using an iterative algorithm, which yields accurate estimates for a fraction of the cost of existing procedures. The book is useful for statisticians, public health researchers, and policymakers interested in accurate and cost-effective HIV prevalence estimation methods and provides valuable insights into improving the methodology of pooled testing for disease prevalence estimation.

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