|Xianghua Luo, PhD
Associate Professor, Division of Biostatistics, School of Public Health
Member, Biostatistics Core, Masonic Cancer Center, University of Minnesota
Education: Ph.D., 2005, Biostatistics, Johns Hopkins Bloomberg School of Public Health
Teaches: PubH 8452 Longitudinal Data Analysis, Fall 2014
Peer-Reviewed Publications: via PubMed
Research Interests: Development and application of methods for recurrent event data, survival data, and longitudinal data; design and analysis of clinical trials. Collaborations include cancer research, blood and marrow transplant (BMT), tobacco use and smoking cessation, and health disparity research.
My methodological research interests include: Recurrent gap time data analysis, Dependent data resampling, Recurrent events under case-crossover design, Survival analysis. Some publications are:
Luo X, Sorock GS. (2008). Analysis of recurrent event data under the case-crossover design with applications to elderly falls. Statistics in Medicine, 27:2890-2901. Some of the R code for simulation studies.
Luo X, Wang M-C, Huang C-Y. (2010). A comparison of various rate functions of a recurrent event process in the presence of a terminal event. Statistical Methods in Medical Research, 19(2):167-182.
Luo X, Huang C-Y*. (2011). Analysis of recurrent gap time data using the weighted risk set method and the modified within-cluster resampling method. Statistics in Medicine, 30(4):301-11. *Both authors contributed equally to the work.
Huang C-Y, Luo X, Follmann D. (2011). A model checking method for the proportional hazards model with recurrent gap time data. Biostatistics, 12(3):535–547.
Liao W, Luo X*, Le C, Chu H, Epstein LH, Yu J, Ahluwalis JS, Thomas J. (2013). Analysis of cigarette purchase task instrument data with a left-censored mixed effects model. Experimental and Clinical Psychopharmacology, 21(2):124–132. *First author was Luo's thesis advisee. Technical report.
My collaborative research intrestes include but not limited to:
Update: August 25, 2014