Assistant Professor

Division of Biostatistics, University of Miami (February 2019 – now)

PhD Biostatistics, University of Miami, USA

BSc Economics, Dalian University of Technology, China

**Lu M.** (2023). Computing Within-Study Covariances, Data Visualization and Missing Data Solutions for Multivariate Meta-Analysis with metavcov *Frontiers in Psychology.* To appear. [url] [pdf] [R code tutorial][CRAN Package] [Website] [.bib cite /exp]

**Lu M.** and __Liao X.__ (2023). Telehealth Utilization in U.S. Medicare Beneficiaries Aged 65 Years and Older During the COVID-19 Pandemic. *BMC Public Health.* 23:368-382. [pdf] [supplemental pdf] [url] [.bib cite /exp]

__Alnajar A__, Benck K.N., Dar T, Hirji S.A., Ibrahim W., Detweiler B., Vuddanda V., Balise R., Rao J.S, **Lu M.**, Lamelas J., (2023) Predictors of Outcomes in Patients with Obesity Following Mitral Valve Surgery. The Journal of Thoracic and Cardiovascular Surgery (JTCVS) Open. 10:1016. [url]

Gonzalez-Guarda, R.M., McCabe, B., Nagy, G., Stafford, A., Lisvel, M., **Lu, M.**, Felsman, R., Rocha-Goldberg, P., & Cervantes, R. Acculturative Stress, Resilience and a Syndemic Factor among Latinx Immigrants. *Nursing Research*. (in press).

Raja, S., Rice, T. W., **Lu, M.**, Semple, M. E., Blackstone, E. H., Murthy, S. C., Ahmad, U., McNamara, M., Toth, A. J., Ishwaran, H. Adjuvant Therapy after Neoadjuvant Therapy for Esophageal Cancer: Who Needs It? *Annals of Surgery*. (in press).[pdf] [url]

Zai X. and **Lu M.** (2023). Editorial: Machine Learning Applications in Educational Studies. *Frontiers in Education*, 8: 1225802. [url] [.bib cite /exp]

Yurekli H, Yiğit E.O., Bulut O., **Lu M.** and Ersoy Öz E. (2022). Exploring Factors that Affect Student Well-Being during the COVID-19 Pandemic: A Comparison of Data Mining Approaches. *International Journal of Environmental Research and Public Health* 19(18): 11267. [pdf] [url] [.bib cite /exp]

**Lu M.** and __Liao X.__ (2022). Access to Care Through Telehealth Among U.S. Medicare Beneficiaries in the Wake of the COVID-19 Pandemic. *Frontiers in Public Health* 10:946944. [pdf] [supplemental pdf] [url] [.bib cite /exp]

**Lu M.** and Ishwaran H. (2021). Tree Variable Selection for Paired Case-Control Studies with Application to Microbiome Data. In *Statistical Analysis of Microbiome Data*, eds. S. Datta and S. Guha (Springer, Switzerland), chapter 12, 295–310. [url] [pdf] [.bib cite /exp] [ebook]

**Lu M.** and Ishwaran H. (2021). Cure and death play a role in understanding dynamics for COVID-19: data-driven competing risk compartmental models, with and without vaccination. *PloS one* 16(7): e0254397. [pdf] [supplemental pdf] [url] [.bib cite /exp]

**Lu M.**, Parel J.M. and Miller D. (2021). Interactions between staphylococcal enterotoxins A and D and superantigen-like proteins 1 and 5 for predicting methicillin and multidrug resistance profiles among *Staphylococcus aureus* ocular isolates. *PloS one*. 2021 Jul 28;16(7):e0254519. [pdf] [url] [.bib cite /exp]

**Lu M.**, __Sha Y.__, Silva T.C., Colaprico A., Sun X., Ban Y., Wang L., Lehmann B.D. and Chen X.S. (2021). LR Hunting: A Random Forest Based Cell–Cell Interaction Discovery Method for Single-Cell Gene Expression Data. *Frontiers in Genetics*. 2021 Aug 20;12:708835. [pdf] [url] [.bib cite /exp]

**Lu M.** and Ishwaran H. (2021). Discussion of nonparametric variable importance assessment. *Biometrics*, 77: 23-27. [pdf] [url] [.bib cite /exp]

Ishwaran H., **Lu M.** and Kogalur U.B. (2021). “randomForestSRC: getting started with randomForestSRC vignette.” Available from: http://randomforestsrc.org/articles/getstarted.html [pdf] [url] [.bib cite /exp]

Ishwaran H., **Lu M.** and Kogalur U.B. (2021). “randomForestSRC: installing randomForestSRC vignette.” Available from: http://randomforestsrc.org/articles/installation.html [pdf] [url] [.bib cite /exp]

Ishwaran H., **Lu M.** and Kogalur U.B. (2021). “randomForestSRC: parallel processing vignette.” Available from: http://randomforestsrc.org/articles/parallel.html [pdf] [url] [.bib cite /exp]

Ishwaran H., **Lu M.** and Kogalur U.B. (2021). “randomForestSRC: hybrid parallel processing vignette.” Available from: http://randomforestsrc.org/articles/hybrid.html [pdf] [url] [.bib cite /exp]

Ishwaran H., **Lu M.** and Kogalur U.B. (2021). “randomForestSRC: randomForestSRC algorithm vignette.” Available from: http://randomforestsrc.org/articles/algorithm.html [pdf] [url] [.bib cite /exp]

Ishwaran H., **Lu M.** and Kogalur U.B. (2021). “randomForestSRC: speedup random forest analyses vignette.” Available from: http://randomforestsrc.org/articles/speedup.html [pdf] [url] [.bib cite /exp]

Ishwaran H., **Lu M.** and Kogalur U.B. (2021). “randomForestSRC: forest weights, in-bag (IB) and out-of-bag (OOB) ensembles vignette.” Available from: http://randomforestsrc.org/articles/forestWgt.html [pdf] [url] [.bib cite /exp]

Ishwaran H., Lauer M.S., Blackstone E.H., **Lu M.** and Kogalur U.B. (2021). “randomForestSRC: random survival forests vignette.” Available from: http://randomforestsrc.org/articles/survival.html [pdf] [url] [.bib cite /exp]

Ishwaran H., Gerds T.A., Lau B.M., **Lu M.** and Kogalur U.B. (2021). “randomForestSRC: competing risks vignette.” Available from: http://randomforestsrc.org/articles/competing.html [pdf] [url] [.bib cite /exp]

Ishwaran H., O’Brien R., **Lu M.** and Kogalur U.B. (2021). “randomForestSRC: random forests quantile classifier (RFQ) vignette.” Available from: http://randomforestsrc.org/articles/imbalance.html [pdf] [url] [.bib cite /exp]

Ishwaran H., Tang F., **Lu M.** and Kogalur U.B. (2021). “randomForestSRC: multivariate splitting rule vignette.” Available from: http://randomforestsrc.org/articles/mvsplit.html [pdf] [url] [.bib cite /exp]

Ishwaran H., **Lu M.** and Kogalur U.B. (2022). “randomForestSRC: AUC splitting for multiclass problems vignette.” Available from: http://randomforestsrc.org/articles/aucsplit.html [pdf] [url] [.bib cite /exp]

Ishwaran H., Mantero A., **Lu M.** and Kogalur U.B. (2021). “randomForestSRC: sidClustering vignette.” Available from: http://randomforestsrc.org/articles/sidClustering.html [pdf] [url] [.bib cite /exp]

Ishwaran H., **Lu M.** and Kogalur U.B. (2021). “randomForestSRC: variable importance (VIMP) with subsampling inference vignette.” Available from: http://randomforestsrc.org/articles/rfsrc-subsample.html [pdf] [url] [.bib cite /exp]

Ishwaran H., Chen X., Minn A.J., **Lu M.**, Lauer M.S. and Kogalur U.B. (2021). “randomForestSRC: minimal depth vignette.” Available from: http://randomforestsrc.org/articles/minidep.html [pdf] [url] [.bib cite /exp]

Ishwaran H., **Lu M.** and Kogalur U.B. (2021). “randomForestSRC: partial plots vignette.” Available from: http://randomforestsrc.org/articles/partial.html [pdf] [url] [.bib cite /exp]

Feaster D.J., Ishwaran H., **Lu M.** and Sadiq S. (2020). *New Statistical Methods to Assess How Patients with Different Traits Respond to the Same Treatment*. Patient-Centered Outcomes Research Institute (PCORI). [url] [pdf] [.bib cite /exp]

**Lu M.** (2020). Dynamic Modeling COVID-19 for Comparing Containment Strategies in a Pandemic Scenario. *Annals of Biostatistics & Biometric Application* 4(1):1–4. [pdf] [url] [.bib cite /exp]

Rice T.W., **Lu M**, Ishwaran H., and Blackstone, E.H. (2019). Precision Surgical Therapy for Adenocarcinoma of the Esophagus and Esophagogastric Junction: A Machine Learning Causal Analysis. *Journal of Thoracic Oncology*, 14(12): 2164-2175. [pdf] [url] [.bib cite /exp]

Ishwaran H. and **Lu M.** (2019). Random Survival Forests. *Wiley StatsRef: Statistics Reference Online*, 1-13. [pdf] [url] [.bib cite /exp]

Ishwaran H. and **Lu M.** (2019). Standard Errors and Confidence Intervals for Variable Importance in Random Forest Regression, Classification, and Survival. *Statistics in Medicine*, 38: 558-582. [pdf] [url] [.bib cite /exp]

**Lu M.** (2018). *Estimating Individual Treatment Effect in Observational Data Using Random Forest Methods*. PhD dissertation, Univeristy of Miami [pdf] [url] [.bib cite /exp]

**Lu M.**, Sadiq S., Feaster D.J. and Ishwaran H. (2018). Estimating Individual Treatment Effect in Observational Data Using Random Forest Methods. *Journal of Computational and Graphical Statistics*, 27: 209-219. [pdf] [url] [.bib cite /exp]

**Lu M.** and Ishwaran H. (2018). A Prediction-Based Alternative to P-values in Regression Models.} *The Journal of Thoracic and Cardiovascular Surgery*, 155: 1130-1136. [pdf] [url] [arXiv] [.bib cite /exp]

**Lu M.** (2021). Variance-Covariance Matrix for Multivariate Meta-Analysis with R package metavcov. R package version 2.1. Available from https://cran.r-project.org/package=metavcov [pdf] [url] [.bib cite /exp]

Myers N.D., Ahn S., **Lu M.**, Celimli S., and Zopluoglu C. (2017). Reordering and Reflecting Factors for Simulation Studies with Exploratory Factor Analysis. *Structural Equation Modeling: A Multidisciplinary Journal*, 24: 112-128. [pdf] [url] [.bib cite /exp]

Ahn S., Zopluoglu C., Celimli S., **Lu M.**, and Myers N.D. (2016). REREFACT: Reordering and/or Reflecting Factors for Simulation Studies with Exploratory Factor Analysis. R package version 1.0. Available from https://cran.r-project.org/package=REREFACT [pdf] [url] [.bib cite /exp]

Ahn S., **Lu M.**, Lefevor G.T., Fedewa A.L. and Celimli S. (2015). “Application of Meta-Analysis in Sport and Exercise Science.” In *An introduction to intermediate and advanced statistical analyses for sport and exercise scientists*, eds. Ntoumanis N and Myers ND (John Wiley & Sons), chapter 11, 233–253. [url] [.bib cite /exp]

**Lu M.** and Qin X. (2008). “Segmentation in the Mortgage Market: A Study of Pre-adjustment of Variables in Cluster Analysis”. In *New Progress in Mathematics and Information Science*, eds. Li Z et. al (Beijing University of Posts and Telecommunications Press), 339-355. (ISBN978-7-5635-1508-0) [url]

Check a .bib file for all above \(\,/\) Export .bibTex

Check my bio

Conducting Multivariate Meta-Analysis in R with metavcov, Evidence Synthesis and Meta-Analysis in R, ESMARCONF2023, March 28, 2023

31st International Statistics Symposium, National University of Colombia, Manizales, Colombia, Aug 29 – Sep 2, 2022.

Meetings in International Chinese Statistical Association (ICSA) section on Emerging Topics in Statistical Learning for Biomedical Data, Gainesville, FL, June 19–22, 2022.

University of Iowa, Iowa Institute for Oral Health Research, Iowa City, Iowa, April 2018

Indiana University School of Medicine, Department of Biostatistics, Indianapolis, Indiana, April 2018

University of Missouri School of Medicine, Columbia, Missouri, March 2018

University of California, San Francisco, Department of Epidemiology & Biostatics, San Francisco, California, February 2018

Icahn School of Medicine at Mount Sinai Hospital, Department of Population Health Science & Policy, virtual session, February 2018

University of Arizona, Epidemiology and Biostatistics Department, Tucson, Arizona, January 2018

Miami University, Department of Statistics, Oxford, Ohio, November 2017

University of Miami, Division of Biostatistics, Miami, Florida, October 2017

Prevention Science Methodology Group’s virtual grand rounds (PSMG), April 2017

2023 Copeland Foundation Project Initiative Award, University of Miami, March 3, 2023 – May 31, 2023.

Department of Public Health Sciences 2022 Copeland Foundation Award, University of Miami, February 3, 2022 – May 31, 2022.

Relief Funding Award, the Office of the Vice Provost for Research and Scholarship and the Office of Faculty Affairs, University of Miami, December 13, 2021 – May 31, 2022.

Top Downloaded Paper, Statistics in Medicine, 2018-2019 [ctf]

Student Travel Award, Treatment Decision in Ischemic Cardiomyopathy: Causal Inference Using Random Survival Forests, the 12th International Conference on Health Policy Statistics (ICHPS), American Statistical Association, October 2017

Travel Award, Biostatistics Workshop, Statistical Inference for Biomedical Big Data, University of Florida, Gainesville, April 2017 [url]

Travel Award, the 5th Workshop on Biostatistics and Bioinformatics, Georgia State University, Atlanta, May 2017

Awards in the 15th Annual High School Mathematical Modeling Contest (HiMCM), USA, 2012, listed as Faculty Advisor

– National Finalist (top 2%), Jiaming Bai, Tong Zhan, Yuren Wang and Haoran Ma. Liaoning Province Shiyan High School [ctf]

– Finalist (top 10%), Yuanhao Zu, Dongyu Lang, Xinying Chen and Jiabao Li. Northeast Yucai Foreign Language School [ctf]

– Meritorious (top 21%), Yuchen Zou, Bowei Sun, Ziqi Fang and Yueming Cao. Northeast Yucai School [ctf]

– Meritorious (top 21%), Yingyue Kang, Tianru Chen, Bozhou Zheng and Guanlin Wu. Northeast Yucai Foreign Language School [ctf]

Meritorious Winner (top 15%), Interdisciplinary Contest in Modeling (ICM), USA, 2008 [ctf]

First Level University Scholarship, Dalian University of Technology, China, [2006-2007] and [2007-2008]

National Scholarship, Ministry of Education of China, [2006-2007] and [2007-2008]

BST 625 Statistical Computing (Fall 2020, 2021)

EPH 705 R Session for Categorical Data Analysis (Spring, 2017)

PhD Students

– Sibei Liu (2026)

– Ruijie Yin (2023), co-advising with Xi (Steven) Chen

– Jiangnan Lyu (2022), On Improving Classification and Conditional Probability Estimation (CPE) for Imbalanced Data: Thresholding, Calibration, and Performance Evaluation, PhD dissertation committee member (committee chairperson: Hemant Ishwaran)

– Naiyuan Zhang (2022) Variable Importance: Illustrations, Comparisons, Challenges, and Solutions, PhD dissertation committee member (committee chairperson: Hemant Ishwaran)

– Yifan Sha (2019) High Order Interaction Detection Using Random Forest Methods, PhD dissertation mentoring (committee chairperson: Xi Chen)

Master Students

– Chen Ye (2023)

– Xinyi Liao (2022), COVID19 Dashboard [url]

– Jingwei Gu (2022) (co-advising with Alberto Caban-Martinez), Dashboard Updates for the Fire Fighter Cancer Cohort Study [url]

– Dingtian Cai (2022) (co-advising with Alberto Caban-Martinez)

Editorial Board

– Review Editor, *Frontiers in Genetics *, Statistical Genetics and Methodology

– Guest Associate Editor, *Frontiers in Education*, Research Topic: Machine Learning Applications in Educational Studies

Journal Referee

– Statistics in Medicine

– Journal of Machine Learning Research

– The Journal of Thoracic and Cardiovascular Surgery

– International Journal of Data Science and Analytics

– Trials journal

– Algorithms

– The Journal of the Royal Statistical Society Series A (Statistics in Society)

– Nature Computational Science

– PloS One

– Frontiers in Genetics

– Frontiers in Public Health

- Nature Mental Health