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 7450 Survival Data Analysis, Fall 2016

Peer-Reviewed Publications: via PubMed, Google Scholar, Research Gate

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.

(The underlined first author was Luo’s thesis advisee and the publication is part of the first author's dissertation; * indicates corresponding author)

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. 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. Technical report.

Luo X, Huang C-Y, Wang L. (2013). Quantile regression for recurrent gap time data. Biometrics, 69(2):375-385. Technical report. R code for quantile regression.

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.

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.

Ho YY, Vo TN, Chu H, Luo X, Le CT. (2018). A Bayesian hierarchical model for demand curve analysis. Statistical Methods in Medical Research, 27(7):2038-2049.

Lee CH, Huang C-Y, Xu G, Luo X. (2018). Semiparametric regression model for alternating recurrent event data. Statistics in Medicine, 37(6):996-1008.

Lyu T, Luo X*, Xu G, Huang C-Y. (2018). Induced smoothing for rank-based regression with recurrent gap time data. Statistics in Medicine, 37(7):1086-1100.

Lee CH, Huang C-Y, DeFor T, Brunstein CG, Weisdorf DJ, Luo X. Semiparametric regression model for recurrent bacterial infections after hematopoietic stem cell transplantation. Statistica Sinica, doi:10.5705/ss.202017.0397. [published online]

My collaborative research interests include but not limited to:

 

Full CV

Update: November 6, 2018