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Xiaowei Yang
Associate Professor
Degrees/Diplomas: PhD, Department of Biostatistics, University of California
Campus Affiliation: Hunter College
Research Interests: Develop Bayesian statistical methods
Phone: 212-396-7747

Professional Interests

Developing Bayesian methods to serve various needs, including Markov-Chain Monte Carlo algorithms for biomarker identification for in high-dimensional genomics data, mixed-effects modeling of incomplete longitudinal data, and parametric hierarchical modeling and semi-parametric methods for profiling health providers.

Selected Publications

  • Peng B, Zhu D, Yang X, Huang W, Liu L, Zhou X, Yi D. (2012). An Extended Association Rule Mining Strategy for Gene Relationship Discovery from Microarray Data. Journal of Statistical Computation and Simulation, iFirst, 2012, 1-13.
  • Xu H, Shen Q, Yang X, and Shoptaw S. (2011). A quasi F test for functional linear models with functional covariates and its application to longitudinal data. Statistics in Medicine, 30:2842-2853.
  • Tseng WH, Yang X, Wang H, Martinez SR, Chen SL, Mayers FJ, Bold RJ, Canter RJ. (2011). Nomogram to predict risk of 30-day mortality for patients with disseminated malignancy undergoing surgical intervention. Annals of Surgery, 2011 Aug; 254(2):333-8.
  • White, J.A., Yang, X., Todd, P.A., and Lerche, W. (2011). Longitudinal Patterns of Viremia and Oral Shedding of Rhesus Rhadinovirous and Retroperitoneal Fibromatosis Herpesviruses in Age Structured Captive Breeding Populations of Rhesus Macaques (Macaca mullatta). Comparative Medicine, 61(1):60-70.
  • Yang, X., Li, J., and Shoptaw, S. (2008). Imputation-based Strategies for Clinical Trial Longitudinal Data with Nonignorable Missing Values. Statistics in Medicine Jul 10;27(15):2826-49.
  • Yang, X. and Nie, K. (2007). Hypothesis Testing in Functional Linear Regression Models with Neyman's Truncation and Wavelet Thresholding for Longitudinal Data. Statistics in Medicine Volume 27, Issue 6, Pages 845 - 863.
  • Yang, X. and Li, J. (2007). Selection Models with Augmented Gibbs Samplers for Continuous Repeated Measures with Nonignorable Dropout. UCLA Statistics Electronic Publications, Preprint 451.
  • Yang, X., Nie, K., Belin, T., Liu, J., and Shoptaw, S. (2007). Markov Transition Models for Binary Repeated Measures with Ignorable and Nonignorable Missing Values. Statistical Methods in Medical Research 16(4): 347-364.
  • Yang, X., Shen, Q., Xu, H., and Shoptaw, S. (2006). Functional Regression Analysis using an F Test for Longitudinal Data with Large Numbers of Repeated Measures. Statistics in Medicine 26:7, 1552-1566.
  • Li, J., Yang, X., and Wu, Y. (2006). A Random-Effects Markov Transition Model for Poisson-distributed Repeated Measures with Nonignorable Missing Values. Statistics in Medicine 26:12, 2519.
  • Yang, X., Belin,T.R. and Boscardin, J. (2005). Simultaneous vs. sequential handling of imputation and variable selection for linear regression models, Biometrics, 61, 498-506.
  • Yang, X. and Shoptaw, S. (2005). Assessing Missing Data Assumptions in Longitudinal Studies: An Example Using a Smoking Cessation Trial. Drug and Alcohol Dependence, 77(3):213-25.

Education

  • PhD, Department of Biostatistics, University of California
  • MS, Institute of Biomedical Engineering, Peking Union Medical College