Teaches: PubH 7450 Survival Data Analysis, Fall 2016
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, survival analysis, and correlated data analysis.
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. * Luo is the senior/corresponding author and the first author’s thesis advisor. Technical report.
Lee CH, Luo X*, Huang C-Y, DeFor T, Brunstein CG, Weisdorf DJ. (2016). Nonparametric estimation of joint distribution of time from umbilical cord blood transplantation to first infection and gap times between recurrent infections. Biometrics, 72(2):535-45. * Luo is the corresponding author and the first author’s thesis advisor.
Zhao T, Luo X*, Chu H, Le CT, Epstein LH, Thomas JL. (2016). A two-part mixed effects model for cigarette purchase task data. Journal of the Experimental Analysis of Behavior, 106(3):242-253. * Luo is the corresponding author and the first author’s thesis advisor.
Ho YY, Vo TN, Chu H, Luo X, Le CT. A Bayesian hierarchical model for demand curve analysis. Statistical Methods in Medical Research, published online before print, October 20, 2016, doi: 10.1177/0962280216673675.
My collaborative research interests include but not limited to:
Update: January 12, 2017