Liang Li, Ph.D.
Department of Biostatistics, Division of Basic Sciences
About Dr. Li
Dr. Liang Li is a Professor at the Department of Biostatistics, University of Texas MD Anderson Cancer Center.
More about Dr. Li's research can be found at https://sites.google.com/site/lianglibiostatistician/home
Present Title & Affiliation
Primary Appointment
Professor, Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX
Research Interests
More about my research can be found at https://works.bepress.com/LiangLi-Biostatistician/
Education & Training
Degree-Granting Education
| 2003 | University of Wisconsin, Madison, WI, USA, PHD, Statistics |
| 1998 | Peking University, Beijing, CHN, BS, Cell Biology & Genetics |
Selected Publications
Peer-Reviewed Articles
- Wang J, Luo S, Li L. Dynamic prediction for multiple repeated measures and event time data: an application to Parkinson's disease. Ann Appl Stat 11(3):1787-1809, 2017. PMID: 29081873.
- Li L, Greene T. A weighting analogue to pair matching in propensity score analysis. Int J Biostat 9(2):1-20, 2013. e-Pub 2013. PMID: 23902694.
- Li L, Astor BC, Lewis J, Hu B, Appel LJ, Lipkowitz MS, Toto RD, Wang X, Wright JT, Greene TH. Longitudinal progression trajectory of GFR among patients with CKD. Am J Kidney Dis 59(4):504-12, 2012. e-Pub 2012. PMID: 22284441.
- Li L, Hu B, Greene T. A semiparametric joint model for longitudinal and survival data with application to hemodialysis study. Biometrics 65(3):737-745, 2009. e-Pub 2009. PMID: 19173700.
- Li L, Greene T. Varying coefficients model with measurement error. Biometrics 64(2):519-526, 2008. e-Pub 2007. PMID: 17970822.
- Li L, Shao J, Palta M. A longitudinal measurement error model with a semicontinuous covariate. Biometrics 61(3):824-30, 2005. PMID: 16135034.
- Li L, Wu C-H, Ning J, Huang X, Shen Y. Semiparametric estimation of longitudinal medical cost trajectory with adjustment for right censored terminal event. Journal of the American Statistical Association.
- Li L, Greene T, Hu B. A simple method to estimate the time-dependent receiver operating characteristic curve and the area under the curve with right censored data. Stat Methods Med Res 27(8):2264-2278. e-Pub 2018. PMID: 27895266.
- Pande A, Li L, Rajeswaran J, Ehrlinger J, Kogalur UB, Blackstone EH, Ishwaran H. Boosted multivariate trees for longitudinal data. Mach Learn 106(2):277-305. e-Pub 2017. PMID: 29249866.
Grant & Contract Support
| Title: | Affective science and smoking cessation: Real time real world assessment |
| Funding Source: | NIH via subaward from University of Utah |
| Role: | Co-Investigator |