Hidden population size estimation and diagnostics using two respondent-driven samples with applications in Armenia
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Publication:6563671
DOI10.1002/bimj.202200136zbMATH Open1541.62304MaRDI QIDQ6563671
Katherine R. McLaughlin, S. S. Grigoryan, Trdat Grigoryan, Arshak Papoyan, Brian J. Kim, Lisa G. Johnston
Publication date: 27 June 2024
Published in: Biometrical Journal (Search for Journal in Brave)
Markov chain Monte Carlohuman immunodeficiency virussuccessive samplingnonprobability samplinglink tracing sampling
Applications of statistics to biology and medical sciences; meta analysis (62P10) Sampling theory, sample surveys (62D05)
Cites Work
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- Estimating hidden population size using respondent-driven sampling data
- Estimating the size of populations at high risk for HIV using respondent‐driven sampling data
- Hidden Population Size Estimation From Respondent-Driven Sampling: A Network Approach
- Population Size Estimation Using Individual Level Mixture Models
- Improved Inference for Respondent-Driven Sampling Data With Application to HIV Prevalence Estimation
- Bayesian population size estimation using Dirichlet process mixtures
- Diagnostics for respondent-driven sampling
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