About Research Teaching CV



Refereed Publications [+PhD or Postdoc trainee] [*corresponding author]

  1. Lan, Z. and Bao, L.* (2023+) A Joint Spatial Conditional Auto-Regressive Model for Estimating HIV Prevalence Rates Among Key Populations. To appear in Journal of the Royal Statistical Society: Series A. arXiv:2009.01099.

  2. Bao, L.*, Niu, X., Mahy M. and Ghys P.D. (2023) Estimating HIV Epidemics for Sub-national Areas. Annals of Applied Statistics. 17 (3), 2515-2532. http://dx.doi.org/10.1214/23-AOAS1730.

  3. Laga, I.+, Bao, L., and Niu, X. (2023) A Correlated Network Scale-up Model: Finding the Connection Between Subpopulations. Journal of the American Statistical Association. https://doi.org/10.1080/01621459.2023.2165929

  4. Laga, I.+, Niu, X., and Bao, L.* (2023) Mapping the number of female sex workers in countries across sub-Saharan Africa. Proceedings of the National Academy of Sciences. 120 (2) e2200633120. https://doi.org/10.1073/pnas.2200633120

  5. Zhang Y.+, Chen S. and Bao, L.* (2023) Air pollution estimation under air stagnation -- a case study of Beijing, China air pollution. Envirometrics. 34 (6); e2819. https://doi.org/10.1002/env.2819

  6. Sheng B.+, Li, C.+, Bao, L.* and Li, R. (2022) Probabilistic HIV Recency Classification -- A Logistic Regression without Labeled Individual Level Training Data. To appear in Annals of Applied Statistics.17 (1): 108-129. DOI: 10.1214/22-AOAS1618.

  7. Bao, L.*, Zhang, Y.+ and Niu, X. (2022) What Can We Learn from the Travelers Data in Detecting Disease Outbreaks--A Case Study of the COVID-19 Epidemic. Annals of Epidemiology. 75: 67-72. https://doi.org/10.1016/j.annepidem.2022.09.005.

  8. Parsons, J.+, Niu, X. and Bao, L.* (2022) A Bayesian hierarchical modeling approach to combining multiple data sources: A case study in size estimation. Annals of Applied Statistics. 16(3): 1550-1562.

  9. Li, X.+, Zhang, A.+, Al-Zaidy, R., Baral, S., Bao, L.* and Giles, C. L. (2022) Automating document classification with distant supervision to increase the efficiency of systematic reviews: A case study on identifying studies with HIV impacts on female sex workers. PLOS ONE. doi.org/10.1371/journal.pone.0270034 14. 

  10. Bao L., Li, C.+, Li, R., and Yang S.+ (2022) Causal Structural Learning on MPHIA Individual Dataset. Journal of the American Statistical Association. 117.540, 1642-1655; https://doi.org/10.1080/01621459.2022.2077209  

  11. VanEvery H.+, Yang W., Su J., Olsen N., Bao L., Lu B., Wu S., Cui L., Gao X. (2022) Low density lipoprotein cholesterol and risk of rheumatoid arthritis: a prospective study. Nutrients, 14(6), 1240; https://doi.org/10.3390/nu14061240.

  12. Parsons, J.+ and Bao, L.* (2021) A Unified Approach for Outliers and Influential Data Detection -- The Value of Information in Retrospect. Stat. doi.org/10.1002/sta4.442

  13. Laga I.+, Bao L. and Niu X. (2022) Thirty Years of The Network Scale-up Method. Journal of the American Statistical Association. 116:535, 1548-1559; https://doi.org/10.1080/01621459.2021.1935267

  14. Laga I.+, Niu X. and 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. 117.537, 27-37; https://doi.org/10.1080/01621459.2021.1944873

  15. VanEvery H.+, Yang W., Olsen N., Bao L., Lu B., Wu S., Cui L., Gao X. (2021) Alcohol consumption and risk of rheumatoid arthritis: a prospective study. Nutrients, 13(7), 2231; https://doi.org/10.3390/nu13072231.

  16. Wu Z., Huang Z., Lichtenstein A., Liu Y., Chen S., Jin Y., Na M., Bao L., Wu S. and Gao X. (2021) The Risk of Ischemic Stroke and Hemorrhagic Stroke in Chinese adults with low density lipoprotein cholesterol concentrations<70 mg/dL. BMC Medicine, 16;19(1):142. doi: 10.1186/s12916-021-02014-4.

  17. Niu, X. M., Rao, A., Chen, D.+, Sheng, B.+, Weir, S., Umar, E., ... and Bao, L.* (2020). Using factor analyses to estimate the number of female sex workers across Malawi from multiple regional sources. Annals of Epidemiology, 55, 34-40. https://doi.org/10.1016/j.annepidem.2020.12.001

  18. Parsons, J.+, Niu, X. and Bao, L.* (2020). Evaluating the relative contribution of data sources in a Bayesian analysis with the application of estimating the size of hard to reach populations. Statistical Communications in Infectious Diseases, 12(s1): 20190020; https://doi.org/10.1515/scid-2019-0020.

  19. Sheng B.+, Eaton J., Mahy M. and Bao L.* (2020). Comparison of HIV Prevalence Among Antenatal Clinic Attendees Estimated from Routine Testing and Unlinked Anonymous Testing, Statistics in Biosciences, 12: 279-294; https://doi.org/10.1007/s12561-020-09265-4

  20. Eaton J., Brown T., Puckett R., Glaubius R., Mutai K., Bao L., Salomon J., Stover J. Mahy M., Hallett T. (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. 33: S235-244.

  21. Datta A., Lin W., Rao A., Diouf D., Edwards J., Bao L., Louis T. and Baral S. (2018). Bayesian estimation of MSM population size in Cote d'Ivoire, Statistics and Public Policy. 6(1): 1-3. doi: 10.1080/2330443X.2018.1546634

  22. Huang S.+, Li J., Wu Y., Ranjbar S., Xing A., Zhao H., Wang Y., Shearer G. C., Bao L., Lichtenstein A. H., Wu S. and Gao X. (2018). Tea consumption and longitudinal change in high-density lipoprotein cholesterol concentration in Chinese adults, Journal of the American Heart Association. 7, 13, e008814.

  23. Cheng F.W.+, Gao X., Bao L., Mitchell D.C., Wood C., Sliwinski M.J., Smiciklas-Wright H., Still C.D., Rolston D.D.K., and Jensen G.L. (2017). Obesity as a risk factor for developing functional limitation among older adults: A conditional inference tree analysis. Obesity (Silver Spring). 25(7):1263-1269.

  24. Wu Z., Su X., Sheng H., Chen Y., Gao X., Bao L., Jin W. (2017) Conditional Inference Tree for Multiple Gene-Environment Interactions on Myocardial Infarction Among Chinese Men. Archives of Medical Research. doi.org/10.1016/j.arcmed.2017.12.001

  25. Eaton J. and Bao L. (2017). Accounting for non-sampling error in estimates of HIV epidemic trends from antenatal clinic sentinel surveillance. AIDS. 31: S61-S68.

  26. Niu X., Zhang A.+, Brown T., Puckett R., Mahy M., Bao L.* (2017). Incorporation of hierarchical structure into EPP fitting with examples of estimating sub-national HIV/AIDS dynamics. AIDS. 31: S51-S59.

  27. Sheng B.+, Marsh K., Slavkovic A.B., Simon Gregson, Eaton J., Bao L.* (2017). Statistical Models for Incorporating Data from Routine HIV Testing of Pregnant Women at Antenatal Clinics into HIV/AIDS Epidemic Estimates. AIDS. 31: S87-S94.

  28. Hunter D.R., Bao L., and Poss M. (2017). Assignment of Endogeneous Retrovirus Integration Sites Using a Mixture Mode. Annals of Applied Statistics. 11(2): 751-770.

  29. Thomas J. and Bao L. (2016). Modeling the dynamics of an HIV epidemic. Dynamic Demographic Analysis. 91-144.

  30. Malhotra, R., Elleder, D., Bao, L., Hunter, D. R., Poss, M., Acharya, R. (2016). A pipeline for identifying integration sites of mobile elements in the genome using next-generation sequencing. Proceedings of the 8th International Conference on Bioinformatics and Computational Biology (BICOB). 63-69.

  31. Li R., Dudek S.M., Kim D., Hall M.A., Bradford Y., Peissig P.L., Brilliant M.H., Linneman J.G., McCarty C.A., Bao L., and Ritchie M.D. (2016) Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian Network. Bio Data Mining. 9(18) DOI: 10.1186/s13040-016-0094-4.

  32. Bao L.*, Raftery A.E., Reddy A. (2015) Estimating the sizes of populations at risk of HIV infection from multiple data sources using a Bayesian hierarchical model. Statistics and Its inference. 8(2): 125-136.

  33. Bao L., Elleder D., Malhotra R., DeGiorgio M., Maravegias T., Horvath L., Carrel L., Gillin C., Hron T., Fabryova H., Hunter D. and Poss M. (2014) Computational and statistical analyses of insertional polymorphic endogenous retroviruses in a non-model organism. Computation. 2: 221-245.

  34. Bao L.*, Ye J., Hallett T.B. (2014) Incorporating incidence information within the UNAIDS estimation and projection Package framework: a study based on simulated incidence assay data. AIDS 28: S515-S522.

  35. Brown T., Bao L., Eaton J.W., Hogan D.R., Mahy M., March K., Mathers B.M., Puckett R. (2014) Improvements in prevalence trend fitting and incidence estimation in EPP 2013. AIDS 28: S415-S425.

  36. Kamath P.., Elleder D., Bao L., Cross P., Poss M. (2013) The population history of endogenous retroviral elements in mule deer (Odocoileus hemionus). Journal of Heredity, 105: 173-187.

  37. Bao L. (2012) A new infectious disease model for estimating and projecting HIV/AIDS epidemics. Sexually Transmitted Infections, 88: i58-i65.Bao L. (2012). A new infectious disease model for estimating and projecting HIV/AIDS epidemics. Sexually Transmitted Infections, 88: i58-i65.

  38. Bao L.*, Salomon J.A., Brown T., Raftery A.E., and Hogan D.R. (2012) Modelling national HIV/AIDS epidemics: revised approach in the UNAIDS estimation and projection package 2011. Sexually Transmitted Infections, 88: i3-i10.

  39. Clark S.J., Thomas J., and Bao L. (2012) Estimates of age-specific reductions in HIV Prevalence in Uganda: Bayesian melding estimation and probabilistic population forecast with an HIV-enabled cohort component projection model. Demographic Research 27: 743-774.

  40. Meila M.P. and Bao L. (2010) An exponential model for infinite rankings. Journal of Machine Learning Research, 11: 3481-3518.
    pdf Technical report 529 Technical report 524
  41. Raftery A.E. and Bao L. (2010) Estimating and projecting trends in HIV/AIDS generalized epidemics using incremental mixture importance sampling. Biometrics, 66: 1162-1173.
    pdf Technical report 560
  42. Bao L. and Raftery A.E. (2010) A stochastic infection rate model for estimating and projecting national HIV prevalence rates. Sexually Transmitted Infections. 86: ii93-ii99.
    pdf
  43. Brown T., Bao L., Raftery A.E., Salomon J.A., Baggaley R.F., Stover J., and Gerland P. (2010) EPP 2009: bringing the UNAIDS estimation and projection package into the ART era. Sexually Transmitted Infections. 86: ii3-ii10.
    pdf
  44. Bao L., Gneiting T., Grimit E., Guttrop P. and Raftery A.E. (2010) Bias correction and Bayesian model averaging for ensemble forecasts of surface wind direction. Monthly Weather Review. 138:1811-1821.
    pdf Technical report 557
  45. Bao L., Zhu, Z. and Ye, J.(2009) Modeling oncology gene pathways network with multiple genotypes and phenotypes via a copula method. IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology. 237-246.
    pdf
  46. Meila M.P. and Bao L. (2008) Estimation and clustering with infinite rankings. Proceedings of the 24th Conference in Uncertainty in Artificial Intelligence. 393-402.
    pdf
  47. Bao L., Gu H., Dunn, K.A. and Bielawski J. (2008) Likelihood Based Clustering (LiBaC) for codon models, a method for grouping sites according to similarities in the underlying process of evolution. Molecular Biology and Evolution. 25:1995-2007.
    pdf
  48. Bao L., Gu H., Dunn K.A. and Bielawski J. (2007) Methods for selecting fixed-effect models for heterogeneous codon evolution, with comments on their application to gene and genome data. BMC Evolutionary Biology. 7 Suppl 1:S5.
    pdf
  49. Mitnitski A, Bao L., and Rockwood K. (2007) A cross-national study of transitions in deficit counts in two birth cohorts: implications for modeling ageing. Experimental Gerontology. 42:241-246.
    pdf
  50. Mitnitski A, Bao L., and Rockwood K. (2006) Going from bad to worse: a stochastic model of transitions in deficit accumulation, in relation to mortality. Mechanisms of Ageing and Development. 127: 490-493.
    pdf
Contributed Software

updated on Sep 6 2023