Xiaofeng  Wang,  PhD

Xiaofeng Wang, PhD



Lerner Research Institute, 9500 Euclid Avenue, Cleveland, Ohio 44195
Location: JJN3-343
Email: wangx6@ccf.org
Phone: (216) 445-7737


Dr. Wang's research areas include:

  • Clinical Machine Learning Models;
  • Healthcare Big Data Analytics;
  • Quantitative Image Data Analysis;
  • Bayesian Inferences with Gaussian Markov Random Field Models;
  • Measurement Error Models;
  • Bioinformatics.

Dr. Wang has authored over 120 journal papers in the statistical and medical literature, as well as a number of book chapters and proceeding papers. He serves on the editorial board for Statistical Methods in Medical Research and also serves as an academic editor for PLoS One. Dr. Wang is an Elected Member of International Statistical Institute (ISI).

In other words ...

Xiaofeng Wang, Ph.D., is a Full Staff Member in the Department of Quantitative Health Sciences at Cleveland Clinic, and a Professor of Medicine at Cleveland Clinic Lerner College of Medicine of Case Western Reserve University. He also holds the joint faculty appointment in the Department of Population and Quantitative Health Sciences at Case Western Reserve School of Medicine. 

Peer Reviewed Books

Wang, X.F., Yue, Y.R., and Faraway, J. (2018) Bayesian Regression Modeling and Fast Computation: With Application using R-INLA. Chapman & Hall/CRC Computer Science and Data Analysis Series.

Peer Reviewed Article

(over 120 peer-reviewed papers, * Corresponding or Senior Author)

Yue, Y., Bolin, D., Rue, H., and Wang, X.F.* (2019). Bayesian Generalized Two-way ANOVA Modeling for Functional Data Using INLA. Statistica Sinica, in press.

Wang, X.F.* and Xu, Y. † (2017) Fast clustering using adaptive density peak detection. Statistical Methods in Medical Research, 26(6), 2800-2811.

Yue, Y.R. and Wang, X.F.* (2016). Bayesian inference for generalized linear mixed models with multiple predictors subject to detection limits. Statistics in Medicine, 35(10):1689-705.

Faraway, J., Mahabal, A., Sun, J., Wang, X.F., Wang, Y., Zhang, L. (2016) Modeling light curves for improved classification of astronomical objects. Statistical Analysis and Data Mining. 9(1), 1-11.

Wang, X.F., and Ye, D. (2015). Conditional density estimation in measurement error problems. Journal of Multivariate Analysis, 133:38-50.

Sattar, A., Sinha, S.K., Wang, X.F. and Li, Y. (2015). Frailty models for pneumonia to death with a left-censored covariate, Statistics in Medicine. 34(14):2266-2280.

Huang E.P., Wang X.F., Roy Choudhury K, McShane L.M., Gönen M., Ye J., Buckler A.J., Kinahan P.E., Reeves A.P., Jackson E.F., Guimaraes A.R., Zahlmann G. (2015). Meta-analysis of the technical performance of an imaging procedure: Guidelines and statistical methodology. Statistical Methods in Medical Research. 24(1):141-74.

Mazzone, P., Wang, X.F., Xu, Y., Mekhail, T., Beukemann, M.C. Na, J., Kemling, J.W., Suslick, K.S., Sasidhar, M. (2012). Exhaled breath analysis with a colorimetric sensor array for the identification and characterization of lung cancer. Journal of Thoracic Oncology, 7(1): 137-142.

Wang, X.F., Jiang, Z., Daly, J.J. and Yue, G.H. (2012). A generalized regression model for region of interest analysis of fMRI data. NeuroImage, 59(1), 502-510.

Wang, X.F. and Wang, B. (2011). Deconvolution estimation in measurement error models: The R package decon. Journal of Statistical Software, 39(10), 1-24.

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