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Probabilistic HIV Recency Classification -- A Logistic Regression without Labeled Individual Level Training Data

Autor: Sheng, Ben, Li, Changcheng, Bao, Le, Li, Runze

Accurate HIV incidence estimation based on individual recent infection status (recent vs long-term infection) is important for monitoring the epidemic, targeting interventions to those at greatest risk of new infection, and evaluating existing progra

Externí odkaz: http://arxiv.org/abs/2104.05150

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Incorporating Hierarchical Structure Into Dynamic Systems: An Application Of Estimating HIV Epidemics At Sub-National And Sub-Population Level

Autor: Bao, Le, Sheng, Ben, Niu, Xiaoyue, Tang, Yuan, Brown, Tim, Ghys, Peter D., Eaton, Jeff W.

Dynamic models have been successfully used in producing estimates of HIV epidemics at national level, due to their epidemiological nature and their ability to simultaneously estimate prevalence, incidence, and mortality rates. Recently, HIV intervent

Externí odkaz: http://arxiv.org/abs/1602.05665

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