Activity Number:
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252
- Replicate Weights and Variance Estimation
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Type:
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Contributed
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Date/Time:
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Monday, July 30, 2018 : 2:00 PM to 3:50 PM
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Sponsor:
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Survey Research Methods Section
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Abstract #329530
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Title:
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Estimating HIV Incidence Using Complex Survey Data
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Author(s):
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Jean Opsomer* and Ismael Flores Cervantes and Anindya De and Rommel Bain and Paul Stupp
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Companies:
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Westat and Westat and U.S. Centers for Disease Control and Prevention and U.S. Centers for Disease Control and Prevention and U.S. Centers for Disease Control and Prevention
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Keywords:
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HIV Incidence;
variance estimation;
measurement error;
replication;
Taylor series linearization;
HIV population-based survey
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Abstract:
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Accurate estimation of HIV incidence in at-risk countries is an important public health challenge. The Population-based HIV Impact Assessment (PHIA) Project has been conducting large-scale national population surveys using complex survey designs. HIV incidence estimation for these surveys is performed using a survey-weighted version of the incidence estimator originally proposed in Kassanjee, McWalter, Bärnighausen & Welte (2012). We describe a comprehensive variance estimation approach for this estimator that fully accounts for the variance components due to the survey and those due to the estimation of the biomarker assay parameters. The approach is readily integrated into a large-scale survey context, including that of the PHIA Project surveys. We illustrate the approach on data from three African countries and evaluate the sensitivity of the estimates to the values provided for the biomarker assay parameters and their measures of uncertainty.
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Authors who are presenting talks have a * after their name.