This paper is in the following e-collection/theme issue:

Descriptive Epidemiology and Population Size Estimates (140) HIV/AIDS/STI Prevention and Care (1043) Statistical Methods for Surveillance and Population Health (188) Validity, Reliability, and Bias (110)

Published on in Vol 6, No 2 (2020): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15044, first published .
Assessing Bias in Population Size Estimates Among Hidden Populations When Using the Service Multiplier Method Combined With Respondent-Driven Sampling Surveys: Survey Study

Assessing Bias in Population Size Estimates Among Hidden Populations When Using the Service Multiplier Method Combined With Respondent-Driven Sampling Surveys: Survey Study

Assessing Bias in Population Size Estimates Among Hidden Populations When Using the Service Multiplier Method Combined With Respondent-Driven Sampling Surveys: Survey Study

Authors of this article:

Sungai T Chabata1 Author Orcid Image ;   Elizabeth Fearon2 Author Orcid Image ;   Emily L Webb3 Author Orcid Image ;   Helen A Weiss3 Author Orcid Image ;   James R Hargreaves4 Author Orcid Image ;   Frances M Cowan1, 5 Author Orcid Image
Article Authors Cited by (3) Tweetations (4) Metrics

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  3. Rice B, Jones H, Machingura F, Gaihai L, Makamba M, Chanyowedza T, Masvikeni P, Matsikire E, Matambanadzo P, Musemburi S, Chida P, Dirawo J, Mugurungi O, Bourdin S, Hargreaves J, Murphy G, Cowan F, Shey M. Comparing the test performance of dried-blood-spot and plasma HIV recent infection testing samples in a nationally scaled sex worker programme in Zimbabwe. PLOS Global Public Health 2025;5(11):e0003791 View