Le Bao, Ph.D.

Affiliations: 
2011 University of Washington, Seattle, Seattle, WA 
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"Le Bao"

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Adrian Raftery grad student 2011 University of Washington
 (Statistical Models for Estimating and Projecting HIV/AIDS Epidemics.)
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Publications

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Laga I, Bao L, Niu X. (2023) A Correlated Network Scale-up Model: Finding the Connection Between Subpopulations. Journal of the American Statistical Association. 118: 1515-1524
Sheng B, Li C, Bao L, et al. (2023) Probabilistic HIV recency classification-a logistic regression without labeled individual level training data. The Annals of Applied Statistics. 17: 108-129
Laga I, Niu X, Rucinski K, et al. (2023) Mapping the number of female sex workers in countries across sub-Saharan Africa. Proceedings of the National Academy of Sciences of the United States of America. 120: e2200633120
Parsons J, Niu X, Bao L. (2022) A BAYESIAN HIERARCHICAL MODEL FOR COMBINING MULTIPLE DATA SOURCES IN POPULATION SIZE ESTIMATION. The Annals of Applied Statistics. 16: 1550-1562
Bao L, Li C, Li R, et al. (2022) Causal Structural Learning on MPHIA Individual Dataset. Journal of the American Statistical Association. 117: 1642-1655
Laga I, Niu X, Bao L. (2021) Modeling the Marked Presence-only Data: A Case Study of Estimating the Female Sex Worker Size in Malawi. Journal of the American Statistical Association. 117: 27-37
Sheng B, Eaton JW, Mahy M, et al. (2020) Comparison of HIV prevalence among antenatal clinic attendees estimated from routine testing and unlinked anonymous testing. Statistics in Biosciences. 12: 279-294
Niu XM, Rao A, Chen D, et al. (2020) Using Factor Analyses to Estimate the Number of Female Sex Workers across Malawi from Multiple Regional Sources. Annals of Epidemiology
Eaton JW, Brown T, Puckett R, et al. (2019) The Estimation and Projection Package Age-Sex Model and the r-hybrid model: new tools for estimating HIV incidence trends in sub-Saharan Africa. Aids (London, England). 33: S235-S244
Eaton JW, Brown T, Puckett R, et al. (2019) EPP-ASM and the r-hybrid model: new tools for estimating HIV incidence trends in sub-Saharan Africa. Aids (London, England)
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