Session 44:
Innovative Methods in HIV-related Research

Thursday, April 11
1:00 PM - 2:30 PM
Napoleon B1
3rd Floor

Chair: Samuel J. Clark, University of Washington
Discussant: Adrian Raftery, University of Washington
Discussant: Tyler McCormick, University of Washington

  1. Using Interviewer Random Effects to Calculate Unbiased HIV Prevalence Estimates in the Presence of Non-Response: A Bayesian ApproachMark E. McGovern, Harvard University; David Canning, Harvard University

  2. Respondent-Driven Sampling and Time-Location Sampling: A Comparison of Implementation and Operational Challenges for HIV Behavioral ResearchMarissa Hall, University of North Carolina at Chapel Hill; Clare Barrington, University of North Carolina at Chapel Hill; Sanny Y. Chen, Centers for Disease Control and Prevention (CDC); Nelson Arambu, Universidad del Valle de Guatemala; Sonia Morales, Universidad del Valle de Guatemala; William M. Miller, University of North Carolina at Chapel Hill; Berta Alvarez, Universidad del Valle de Guatemala; Gabriela Paz-Bailey, Universidad del Valle de Guatemala

  3. Modeling the Impact of Post-Diagnosis Behavior Change on HIV Prevalence in Southern California Men Who Have Sex with Men (MSM)Aditya Khanna, University of Washington; Steven M. Goodreau, University of Washington; Pamina Gorbach, University of California, Los Angeles

  4. Decomposing Gender Inequalities in HIV/AIDS in Kenya, Lesotho and TanzaniaDrissa Sia, McGill University; Yentéma Onadja, Université de Montréal; Arijit Nandi, McGill University; Anne Foro, École Nationale d’adminstration Publique, Montréal; Timothy Brewer, McGill University

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