Estimating the sizes of populations at risk of HIV infection from multiple data sources using a Bayesian hierarchical model

DOI10.4310/SII.2015.v8.n2.a1zbMath1405.62156WikidataQ30959546 ScholiaQ30959546MaRDI QIDQ1747439

Adrian E. Raftery, Le Bao, Amala Reddy

Publication date: 8 May 2018

Published in: Statistics and Its Interface (Search for Journal in Brave)

zbMATH Keywords

Monte CarloheterogeneityMarkov chainmultiplier methodcapture-recaptureHIV/AIDS epidemickey affected populationmapping data

Mathematics Subject Classification ID

Software, source code, etc. for problems pertaining to statistics (62-04) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian problems; characterization of Bayes procedures (62C10)

Related Items (4)

A Bayesian hierarchical model for combining multiple data sources in population size estimation ⋮ Estimating the size of a hidden finite set: large-sample behavior of estimators ⋮ Size estimation of key populations in the HIV epidemic in eSwatini using incomplete and misaligned capture-recapture data ⋮ Hidden Population Size Estimation From Respondent-Driven Sampling: A Network Approach

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