Bio
Bayesian methods, data mining, computational methods, applications in health, environmental and social sciences.
Publication Tags
Hiv Acquired Immunodeficiency Syndrome Bayesian Networks Evolutionary Algorithms Medicine Genes Medical Problems Importance Sampling Statistical Models Incidence Single Nucleotide Polymorphism Polymorphism Nucleotides Genome Sentinel Surveillance Infection Genome Wide Association Study Mixture Model Type 2 Diabetes Mellitus Pregnant Women Assignment Interaction Genomics Surveys And Questionnaires Model
Most Recent Papers
The Estimation and Projection Package Age-Sex Model and the r-hybrid model
Jeffrey W. Eaton, Tim Brown, Robert Puckett, Robert Glaubius, Kennedy Mutai, Le Bao, Joshua A. Salomon, John Stover, Mary Mahy, Timothy B. Hallett, 2019, AIDS on p. S235-S244
Conditional Inference Tree for Multiple Gene-Environment Interactions on Myocardial Infarction
Zhijun Wu, Xiuxiu Su, Haihui Sheng, Yanjia Chen, Xiang Gao, Le Bao, Wei Jin, 2017, Archives of Medical Research on p. 546-552
Obesity as a risk factor for developing functional limitation among older adults
Feon W. Cheng, Xiang Gao, Le Bao, Diane Crisman Mitchell, Craig Wood, Martin John Sliwinski, Helen Smiciklas-Wright, Christopher D. Still, David D.K. Rolston, Gordon Lee Jensen, 2017, Obesity on p. 1263-1269
Assignment of endogenous retrovirus integration sites using a mixture model
David R. Hunter, Le Bao, Mary Poss, 2017, Annals of Applied Statistics on p. 751-770
Statistical models for incorporating data from routine HIV testing of pregnant women at antenatal clinics into HIV/AIDS epidemic estimates
Ben Sheng, Kimberly Marsh, Aleksandra B. Slavkovic, Simon Gregson, Jeffrey W. Eaton, Le Bao, 2017, AIDS on p. S87-S94
Accounting for nonsampling error in estimates of HIV epidemic trends from antenatal clinic sentinel surveillance
Jeffrey W. Eaton, Le Bao, 2017, AIDS on p. S61-S68
Incorporation of hierarchical structure into estimation and projection package fitting with examples of estimating subnational HIV/AIDS dynamics
Xiaoyue Niu, Amy Zhang, Tim Brown, Robert Puckett, Mary Mahy, Le Bao, 2017, AIDS on p. S51-S59
Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network
Ruowang Li, Scott M. Dudek, Dokyoon Kim, Molly A. Hall, Yuki Bradford, Peggy L. Peissig, Murray H. Brilliant, James G. Linneman, Catherine A. McCarty, Le Bao, Marylyn D. Ritchie, 2016, BioData Mining
Estimating the sizes of populations at risk of HIV infection from multiple data sources using a Bayesian hierarchical model
Le Bao, Adrian E. Raftery, Amala Reddy, 2015, Statistics and its Interface on p. 125-136
Modelling national HIV/AIDS epidemics
Le Bao, Joshua A. Salomon, Tim Brown, Adrian E. Raftery, Daniel R. Hogan, 2012, Sexually Transmitted Infections
Recent Most-Cited Papers
Estimating and Projecting Trends in HIV/AIDS Generalized Epidemics Using Incremental Mixture Importance Sampling
Adrian E. Raftery, Le Bao, 2010, Biometrics on p. 1162-1173
Bias correction and bayesian model averaging for ensemble forecasts of surface wind direction
Le Bao, Tilmann Gneiting, Eric P. Grimit, Peter Guttorp, Adrian E. Raftery, 2010, Monthly Weather Review on p. 1811-1821
Modelling HIV epidemics in the antiretroviral era
Tim Brown, Le Bao, Adrian E. Raftery, Joshua A. Salomon, Rebecca F. Baggaley, John Stover, Patrick Gerland, 2010, Sexually transmitted infections
An Exponential model for infinite rankings
Marina Meilǎ, Le Bao, 2010, Journal of Machine Learning Research on p. 3481-3518
Modelling national HIV/AIDS epidemics
Le Bao, Joshua A. Salomon, Tim Brown, Adrian E. Raftery, Daniel R. Hogan, 2012, Sexually Transmitted Infections
A new infectious disease model for estimating and projecting HIV/AIDS epidemics.
Le Bao, 2012, Sexually Transmitted Infections
Statistical models for incorporating data from routine HIV testing of pregnant women at antenatal clinics into HIV/AIDS epidemic estimates
Ben Sheng, Kimberly Marsh, Aleksandra B. Slavkovic, Simon Gregson, Jeffrey W. Eaton, Le Bao, 2017, AIDS on p. S87-S94
Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network
Ruowang Li, Scott M. Dudek, Dokyoon Kim, Molly A. Hall, Yuki Bradford, Peggy L. Peissig, Murray H. Brilliant, James G. Linneman, Catherine A. McCarty, Le Bao, Marylyn D. Ritchie, 2016, BioData Mining
Accounting for nonsampling error in estimates of HIV epidemic trends from antenatal clinic sentinel surveillance
Jeffrey W. Eaton, Le Bao, 2017, AIDS on p. S61-S68
A stochastic infection rate model for estimating and projecting national HIV prevalence rates.
Le Bao, Adrian E. Raftery, 2010, Sexually Transmitted Infections