Xianghua Luo, PhD Professor, Division of Biostatistics and Health Data Science, School of Public Health Member, Biostatistics Core, Masonic Cancer Center, University of Minnesota

Teaches: PubH 8452 Advanced Longitudinal Data Analysis, Fall 2022

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

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Research Interests: Development and application of methods for recurrent event data, survival data, and longitudinal data; design and analysis of clinical trials. Collaborative research includes cancer research, blood and marrow transplant (BMT), and tobacco use and smoking cessation.

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; * indicates that Luo is the 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):301-311. ^†Contributed equally.

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):535-545.

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.

Zhang Y, Luo X*, Le CT, Ahluwalis JS, Thomas J. (2018). Analysis of self-report and biochemically verified tobacco abstinence outcomes with missing data: a sensitivity analysis using two-stage imputation. BMC Medical Research Methodology, 2018,18:170.

Lee CH, Huang C-Y, DeFor T, Brunstein CG, Weisdorf DJ, Luo X. (2019). Semiparametric regression model for recurrent bacterial infections after hematopoietic stem cell transplantation. Statistica Sinica, 29(3):1489-1509.

Koopmeiners KS, Vock DM, Boatman JA, Carroll D, Colby SM, Donny EC, Hatsukami DK, Luo X, Tidey JW. (2019). The importance of estimating causal effects for evaluating a nicotine standard for cigarettes. Nicotine & Tobacco Research, 2019 Dec 23; 21(Suppl 1):S22-S25.

Lyu T, Luo X, Huang C-Y, Sun Y. (2021). Additive rates model for recurrent event data with intermittently observed time-dependent covariates. Statistical Methods in Medical Research, 30(10):2239–2255.

Shi L, Hatsukami D, Benowitz N, Koopmeiners JS, Le CT, Donny EC, Luo X*. (2021). Statistical methods for analyzing area under the curve of longitudinally measured biomarkers with missing data. Pharmaceutical Statistics, 20(6):1249-1264.

Lyu T, Luo X, Sun Y. (2021). Additive-multiplicative rates model for recurrent event data with intermittently observed time-dependent covariates. Journal of Data Science, 19(4):615-633.

Castro-Pearson S, Le C, Luo X. (2022). Two-sample survival probability curves: A graphical approach for the analysis of time to event data in clinical trials. Contemporary Clinical Trials, 115:106707.

Castro-Pearson S, Sur A, Lee CH, Huang C-Y, Luo X* (2022). BivRec: An R package for the nonparametric and semiparametric analysis of bivariate alternating recurrent events. BMC Medical Research Methodology, 22:92.

Zhang S, Chu H, Bickel WK, Le CT, Smith TT, Thomas JL, Donny EC, Hatsukami DK, Luo X*. (2022). A Bayesian hierarchical model for individual participant data meta-analysis of demand curves. Statistics in Medicine, 41(12):2276-2290.

Eaton A, Sun Y, Neaton J, Luo X. (2022). Non-parametric estimation in an illness-death model with component-wise censoring. Biometrics, 78(3):1168-1180.

My collaborative research interests include but not limited to blood and marrow transplantation and tobacco research. Some representative works are:

Tobacco Research (Selected Recent Publications)

Hatsukami DK, Luo X, Jensen JA, et al. (2018). Effect of immediate vs. gradual reduction in nicotine content of cigarettes on biomarkers of smoke exposure: a randomized clinical trial. JAMA, 320(9):880-891.

Hatsukami DK, Luo X, Heskin AK, et al. (2019). Effects of immediate versus gradual nicotine reduction in cigarettes on biomarkers of biological effects. Addiction, 114(10):1824-1833.

Cao W^†, Hecht SS, Murphy SE, Chu H, Benowitz NL, Donny EC, Hatsukami DK, Luo X*. (2020). Analysis of multiple biomarkers using structural equation modeling. Tobacco Regulatory Science, 6(4):266-278. (†RA supervised by Luo)

Luo X, Carmella SG, Chen M, Jensen JA, Wilkens LR, Marchand LL, Hatsukami DK, Murphy SE, Hecht SS. (2020). Urinary cyanoethyl mercapturic acid as a reliable indicator of combusted tobacco products versus e-cigarettes or smokeless tobacco. Nicotine & Tobacco Research, 22(10):1744-1747.

Luo K, Luo X, Cao W, Hochalter JB, Paiano V, Fujioka N, Wang J, Sipe CJ, Carmella SG, Murphy SE, Hatsukami D, Jensen J, Lam S, Golin AP, Bergstrom L, Midthun D, Hecht SS. (2021). Cigarette smoking enhances the metabolic activation of the polycyclic aromatic hydrocarbon phenanthrene in humans. Carcinogenesis, 42(4):570-577.

Carroll DM, Tessier KM, Cummings KM, O'Connor RJ, Reisinger S, Shields PG, Stepanov I, Luo X, Hatsukami D, Rees VM. (2023). Risk perceptions and continued smoking as a function of cigarette filter ventilation level among U.S. youth and young adults who smoke. Tobacco Control, 32(4):473-479.

BMT Research (Selected Recent Publications)

Williams SM, Sumstad D, Kadidlo D, Curtsinger J, Luo X, Miller JS, McKenna DH. (2018). Clinical-scale production of cGMP compliant CD3/CD19 cell-depleted NK cells in the evolution of NK cell immunotherapy at a single institution. Transfusion, 58(6):1458–1467.

Sarhan D, Hippen KL, Lemire A, Hying S, Luo X, Lenvik T, Curtsinger J, Davis Z, Zhang B, Cooley S, Cichocki F, Blazar BR, Miller JS. (2018). Adaptive NK cells resist regulatory T cell suppression driven by IL-37. Cancer Immunology Research, 6(7):766-775.

Cichocki F, Taras E, Chiuppesi F, Wagner JE, Blazar BR, Brunstein C, Luo X, Diamond DJ, Cooley S, Weisdorf DJ, Miller JS. (2019). Adaptive NK cell reconstitution is associated with better clinical outcomes. JCI Insight, 4(2):e125553.

Merino AM, Zhang B, Dougherty PR, Luo X, Wang J, Blazar BR, Miller JS, Cichocki F. (2019). Chronic stimulation drives human NK cell dysfunction and epigenetic reprograming. J Clin Invest, 130:3770-3785.

Rashidi A, Luo X, Cooley S, Anasetti C, Waller E, Brunstein C, Cichocki F, Weisdorf D, Miller J. (2019). The association of CMV with NK-cell reconstitution depends on graft source: results from BMT CTN-0201 samples. Blood Advances, 3(16):2465-2469.

Merino A, Mehta RS, Luo X, Janakiram M, Cooley S, Wangen R, Cichocki F, Weisdorf DJ, Miller JS, Bachanova V. (2021). Early adaptive NK cell expansion is associated with decreased relapse after autologous transplant for multiple myeloma. Transplantation and Cellular Therapy, 27(4):310.e1-310.e6.

Rashidi A, Ebadi M, Rehman TU, Elhusseini H, Kazadi D, Halaweish H, Khan M, Hoeschen A, Cao Q, Luo X, Holtan SG, Weisdorf DJ, Khoruts A, Staley C. A randomized double-blind phase 2 trial of fecal microbiota transplantation versus placebo in allogeneic hematopoietic Cell transplantation and acute myeloid leukemia. Journal of Clinical Oncology, 2023 May 26; doi: 10.1200/JCO.22.02366. Online ahead of print.

Rashidi A, Ebadi M, Ur Rehman T, Elhusseini H, Kazadi D, Halaweish H, Khan MH, Hoeschen A, Cao Q, Luo X, Kabage AJ, Lopez S, Holtan SG, Weisdorf DJ, Khoruts A, Staley C. Potential of fecal microbiota transplantation to prevent acute graft-versus-host disease. Clinical Cancer Research, 2023 Oct 3, doi: 10.1158/1078-0432.CCR-23-2369. Online ahead of print.

My recent talks/presentations:

Statistical methods for behavioral economics data in tobacco research (slides).