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Estimation theory / Parameter / Sampling / Earth / Mathematics / Statistical inference / Asia / HIV/AIDS in Asia


Estimating the Size of Populations at High Risk of HIV in Bangladesh Using a Bayesian Hierarchical Model Le Bao and Adrian E. Raftery Amala Reddy
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Document Date: 2010-08-11 19:35:17


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File Size: 2,24 MB

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City

Bangkok / /

Company

Pearson / Family Health International / Bangladesh Technical Group / Monte Carlo / /

Continent

Asia / /

Country

Thailand / United States / Bangladesh / /

Facility

UN Building / University of Washington / National Institute of Child Health / Social Sciences University of Washington Seattle / Adrian E. Raftery Amala Reddy University of Washington UNAIDS / /

IndustryTerm

expert technical working / HIV prevention / above algorithm / risk / /

Movie

High and low / /

Organization

University of Washington / Centre for Health and Population Research / World Health Organization / United Nations / Social Sciences University of Washington Seattle / Department of Statistics / University of Washington UNAIDS / International Centre for Diarrhoeal Disease Research / Center for Statistics / National Institute of Child Health and Human Development / /

Person

George / Washington Seattle / There / Adrian E. Raftery / Walker / Robert / Garnett / Peter Ghys / Amala Reddy / /

Position

Bayesian hierarchical model / Regional Program Advisor for Strategic Information / Graduate Research Assistant / Professor of Statistics / researcher / Bayesian hierarchical model for IDUs / representative / Blumstein- Professor of Statistics / Regional Program Advisor for Strategic Information / Regional Support Team / /

ProvinceOrState

Washington / /

Region

sub-Saharan Africa / /

Technology

above algorithm / MH algorithm / /

SocialTag