Using interviewer random effects to remove selection bias from HIV prevalence estimates

被引：0

作者：

Mark E McGovern

Till Bärnighausen

Joshua A Salomon

David Canning

机构：

[1] Harvard Center for Population and Development Studies,Department of Global Health and Population

[2] Harvard T.H. Chan School of Public Health,Wellcome Trust Africa Centre for Health and Population Studies

[3] University of KwaZulu-Natal,undefined

来源：

BMC Medical Research Methodology | / 15卷

关键词：

Selection Bias; HIV Prevalence; Missing Data; Heckman Selection Models; Random Effects Estimation;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

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