Xiaofeng Wang, Ph.D.
Quantitative Health Sciences /JJN3
Telephone: (216)445-7737
Fax: (216)445-8023
Email: wangx6 at CCF dot ORG

Dr. Xiaofeng Wang

Positions:
Associate Staff Member of Biostatistics
Department of Quantitative Health Sciences
Cleveland Clinic Lerner Research Institute, 2011-present

Assistant Staff Member of Biostatistics
Department of Quantitative Health Sciences
Cleveland Clinic Lerner Research Institute, 2005-2011
Assistant Professor of Medicine
Cleveland Clinic Lerner College of Medicine, 2005-2011
Assistant Professor of Biostatistics (Secondary)
Case Western Reserve University School of Medicine, 2006-2011

Education:
Ph.D., Statistics, Case Western Reserve University, 2001-2005.

Research Interest:
Nonparametric and Semiparametric Smoothing; Measurement Error Models; Statistical Image Analysis; Bioinformatics; Neuroinformatics; High-dimensional Predictive Models; Health Econometrics.

Honors:

  • Elected Member of the International Statistical Institute (ISI).
  • Cleveland Clinic Innovator Award, 2010.
  • Researcher Selected for the 2006-7 The Value of Research, Case Western Reserve University.
  • LAHA Awards, Institute of Mathematical Statistics (IMS), 2005.

Professional Services:

  • Editorial/Review Committee for Proceedings of the 4th Ohio Collaborative Conference on Biomedical Informatics, IEEE Press, 2009.
  • Editorial Assistant of IMS Lecture Notes-Monograph Series: Nonparametric Inference and Probability, 2006.
  • Review Committee for Cleveland Clinic's Annual Research Day, 2006-.
  • Reviewer for NSF; Journal of American Statistical Association; Statistics in Medicine; Journal of Statistical Planning and Inference; Electronic Journal of Statistics; Statistics and Probability Letters; Environmetrics; Statistical Papers; Communications in Statistics-Theory and Methods; NeuroImage; etc.

Selected Recent Statistical Publications:

  • Wang, X.F. (2011). Joint generalized models for multi-dimensional outcomes: A case study of neuroscience data from multi-modalities. Biometrical Journal, doi:10.1002/bimj.201100041.
  • Wang, X.F. and Ye, D. (2011). The effects of error magnitude and bandwidth selection for deconvolution with unknown error distribution. Journal of Nonparametric Statistics, doi:10.1080/10485252.2011.647024.
  • 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.
  • Wang, X.F., Jiang, Z., Daly, J.J. and Yue, G.H. (2011). A generalized regression model for region of interest analysis of fMRI data. NeuroImage, doi:10.1016/j.neuroimage.2011.07.079.
  • Jiang, Z., Wang, X.F., Kisiel-Sajewicz, K., Yan, J.H. and Yue, G.H. (2011). Strengthened functional connectivity in the brain during muscle fatigue. NeuroImage, doi:10.1016/j.neuroimage.2011.12.013.
  • Wang, B., Wang, X.F. and Xi, Y. (2011) Normalizing bead-based microRNA expression data: A measurement error model-based approach, Bioinformatics, 27(11), 1506-1512.
  • Wang, X.F. and Ye, D. (2010). On nonparametric comparison of images and regression surfaces. Journal of Statistical Planning and Inference. 140(10), 2875-2884.
  • Wang, X.F., Fan, Z., and Wang, B. (2010). Estimating smooth distribution function in the presence of heteroscedastic measurement errors. Computational Statistics and Data Analysis, 54(1), 25-36.
  • Wang, B., Wang, X.F., Howell, P., Qian, X., Huang, K., Riker, A. I., Ju, J., and Xi, Y. (2010). A personalized microRNA microarray normalization method using a logistic regression model. Bioinformatics, 26(2), 228-234.
  • Fan, Z.* and Wang, X.F.* (Joint first authors) (2009). Marginal hazards model for multivariate failure time data with auxiliary covariates. Journal of Nonparametric Statistics, 21(7), 771-786.
  • Wang, X.F., Yang, Q., Fan, Z., Sun, C.-K., and Yue, G. H. (2009). Assessing time-dependent association between scalp EEG and muscle activation: A functional random-effects model approach. Journal of Neuroscience Methods, 177(1), 232-240.
  • Sun J. and Wang X.F. (2009). Comment on nonparametric prediction in measurement error models. Journal of the American Statistical Association, 104(407), 1012-1013.

Dr. Wang's Personal Webpage.