Modeling concurrency and selective mixing in heterosexual partnership networks with applications to sexually transmitted diseases

DOI10.1214/16-AOAS963zbMath1454.62307OpenAlexW2569721306MaRDI QIDQ512408

Ryan Admiraal, Mark S. Handcock

Publication date: 24 February 2017

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/16-aoas963

zbMATH Keywords

constrained maximum likelihood estimationexponential-family random graph modelsheterosexual partnership networksNational Longitudinal Survey of Adolescent Health

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Social networks; opinion dynamics (91D30)

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Staged HIV transmission and treatment in a dynamic model with long-term partnerships ⋮ A simulation-based framework for assessing the feasibility of respondent-driven sampling for estimating characteristics in populations of lesbian, gay and bisexual older adults

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