Estimating the size of populations at high risk for HIV using respondent-driven sampling data. - Wikidata - wikimedia - TriplyDB

Estimating the size of populations at high risk for HIV using respondent-driven sampling data.

Estimating the size of populations at high risk for HIV using respondent-driven sampling data.

http://www.wikidata.org/entity/Q35542313

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Availability and Quality of Size Estimations of Female Sex Workers, Men Who Have Sex with Men, People Who Inject Drugs and Transgender Women in Low- and Middle-Income Countries Estimating hidden population size using Respondent-Driven Sampling data.Estimating the Size of Hidden Populations Using Respondent-driven Sampling Data: Case Examples from Morocco.Application of Network Scale Up Method in the Estimation of Population Size for Men Who Have Sex with Men in Shanghai, China Population Size Estimation of Men Who Have Sex with Men in Tbilisi, Georgia; Multiple Methods and Triangulation of Findings.Estimated Number of People Who Inject Drugs in San Francisco, 2005, 2009, and 2012.Using data from respondent-driven sampling studies to estimate the number of people who inject drugs: Application to the Kohtla-Järve region of Estonia.Generalizing the Network Scale-Up Method: A New Estimator for the Size of Hidden Populations.Using dual capture/recapture studies to estimate the population size of persons who inject drugs (PWID) in the city of Hai Phong, Vietnam.

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Estimating the size of populations at high risk for HIV using respondent-driven sampling data.

http://www.wikidata.org/entity/Q35542313

description

2015 nî lūn-bûn

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2015 թուականի Յունուարին հրատարակուած գիտական յօդուած

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2015 թվականի հունվարին հրատարակված գիտական հոդված

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2015年の論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年论文

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Estimating the size of populat ...... spondent-driven sampling data.

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Corinne M Mar

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Krista J Gile

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Mark S Handcock

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P2860

Generation of uncorrelated random scale-free networks

Assessing network scale-up estimates for groups most at risk of HIV/AIDS: evidence from a multiple-method study of heavy drug users in Curitiba, Brazil

Estimating hidden population size using Respondent-Driven Sampling data.

MODELING SOCIAL NETWORKS FROM SAMPLED DATA

Respondent-Driven Sampling: An Assessment of Current Methodology.

Sentinel surveillance of sexually transmitted infections/HIV and risk behaviors in vulnerable populations in 5 Central American countries.

Likelihood-based inference for stochastic models of sexual network formation.

Implementation challenges to using respondent-driven sampling methodology for HIV biological and behavioral surveillance: field experiences in international settings.

Capture-recapture methods and respondent-driven sampling: their potential and limitations.

How many men who have sex with men and female sex workers live in El Salvador? Using respondent-driven sampling and capture-recapture to estimate population sizes.

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258-266

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10.1111/BIOM.12255

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