Sample size methods for estimating HIV incidence from cross-sectional surveys

DOI10.1111/BIOM.12336zbMath1419.62381OpenAlexW1896897699WikidataQ35753750 ScholiaQ35753750MaRDI QIDQ2809543

Jacob Konikoff, Ron Brookmeyer

Publication date: 30 May 2016

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4715554

zbMATH Keywords

incidencesample sizeHIVtrendscross-sectional

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50)

Uses Software

• Unnamed Item

Cites Work

• Snapshot Estimators of Recent HIV Incidence Rates
• Power Computations for Designing Comparative Poisson Trials

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