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

Descriptive Epidemiology and Population Size Estimates (85) HIV/AIDS/STI Prevention and Care (816) Statistical Methods for Surveillance and Population Health (146) Validity, Reliability, and Bias (89)

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 (2) Tweetations (4) Metrics

Sungai T Chabata   1 , MSc ;   Elizabeth Fearon   2 , MSc, PhD ;   Emily L Webb   3 , MSc, PhD ;   Helen A Weiss   3 , MSc, DPhil ;   James R Hargreaves   4 , MSc, PhD ;   Frances M Cowan   1, 5 , MSc, MD

1 Centre for Sexual Health and HIV/AIDS Research, Harare, Zimbabwe

2 Department of Global Health and Development, London School of Hygiene and Tropical Medicine, London, United Kingdom

3 UK Medical Research Council Tropical Epidemiology Group, London School of Hygiene and Tropical Medicine, London, United Kingdom

4 Department of Public Health, Environments and Society, London School of Hygiene and Tropical Medicine, London, United Kingdom

5 Department of International Public Health, Liverpool School of Tropical Medicine, Liverpool, United Kingdom

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