Estimating the size of populations at high risk for HIV using respondent-driven sampling data-Reference-Cited by-同舟云学术

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

Published:2015-01-13 Issue:1 Volume:71 Page:258-266
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biom

Author:

Handcock Mark S.¹,Gile Krista J.²,Mar Corinne M.³

Affiliation:

1. Department of Statistics; University of California; Los Angeles California U.S.A.

2. Department of Mathematics and Statistics; University of Massachusetts; Amherst Massachusetts U.S.A.

3. CSDE, University of Washington; Seattle Washington U.S.A.

Funder

National Institute of Child Health and Human Development

Office of Naval Research

National Science Foundation

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/biom.12255/fullpdf

Reference39 articles.

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2. Bao , L. Raftery , A. E. Reddy , A. 2010

3. Capture-recapture methods and respondent-driven sampling: Their potential and limitations;Berchenko;Sexually Transmitted Infections,2011

4. Nonparametric inference under biased sampling from a finite population;Bickel;Annals of Statistics,1992

5. Cut-offs and finite size effects in scale-free networks;Boguna;European Physical Journal B,2004

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