publications.Rmd
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]
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. 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 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). 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. (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]
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]
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]
Ishwaran H. and Lu M. (2019). Random Survival Forests. Wiley StatsRef: Statistics Reference Online, 1-13. [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. (2018). Estimating Individual Treatment Effect in Observational Data Using Random Forest Methods. PhD dissertation, Univeristy of Miami [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). https://dx.doi.org/10.25302/06.2020.ME.140312907 [url] [pdf] [.bib cite /exp]
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]
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]
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).
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]
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., 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]
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]
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]
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]
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]