Contact informaion

102 Heroy Science Hall
3225 Daniel Avenue
Dallas, TX 75275-0332
Tel.: (214) 768-2459
Fax: (214) 768-4035
swang AT smu DOT edu

Xinlei (Sherry) Wang, Ph.D.

2015- Professor
Department of Statistical Science, SMU
Associate Professor
Department of Statistical Science, SMU
2003-2009 Assistant Professor
Department of Statistical Science, SMU


2002 Ph.D. in Statistics McCombs School of Business, University of Texas at Austin, TX.
1998 M.A. in Statistics
Department of Statistics, University of Pittsburgh, PA.
1997 B.S. in Automatic Control
Dept. of Automation, Univ. of Science & Technology of China, Hefei, China.

Research Interests

  • Bayesian Methods and Applications
  • Meta-Analysis/Integrative Analysis
  • Statistical Genomics
  • Order-related Design, Theory and Inference

Courses Taught

STAT 1301–Introduction to Statistics (Undergraduate)
STAT 2331–Introduction to Statistical Methods (Undergraduate)
STAT 3312–Introduction to Categorical Data Analysis (Undergraduate)
STAT 6327–Mathematical Statistics I (Ph.D.)
STAT 6390–Bayesian Methods & Data Analysis (Ph.D.)
STAT 6377–Categorical Data Analysis (Ph.D.)
STAT 6395–Special Topic in Statistics (Master's)

Refereed Research Papers

1.    Wang, X.*, Stokes, S. L., Lim, J., and Chen, M. (2006), “Concomitants of Multivariate Order Statistics with Application to Judgment Post-stratification”. Journal of the American Statistical Association, 101, 1693-1704. 

2.    Wang, X.*, Lim, J., and Stokes, S. L. (2006), “Forming Post-Strata via Bayesian Treed Capture-recapture Models”. Biometrika, 93 (4), 861-876.

3.    Gao, Y., Lu, L., and Wang, X. (2006). “Significance Calculation and New Analysis Method in Searching for New Physics at the LHC”. European Physical Journal C, 45, 659-667.

4.    Wang, X.* and George, E. I. (2007), “Adaptive Bayesian Criteria in Variable Selection for Generalized Linear Models”. Statistica Sinica, 17(2), 667-690.

5.    Lim, J., Wang, X., and Sherman, M. (2007), “An Adjustment of Edge Effects Using an Augmented Neighborhood Model in Spatial Auto-Logistic Models”. Computational Statistics and Data Analysis, 51(8), 3679-3688.

6.    Stokes, S. L., Wang, X., and Chen, M. (2007), “Judgment Post-Stratification with Multiple Rankers”.  Journal of Statistical Theory and Applications, 6(4), 344-359.

7.    Abu-Nimeh, S., Nappa, D., Wang, X., and Nair, S. (2007), “A Comparison of Machine Learning Techniques for Phishing Detection”. ACM International Conference Proceeding Series, 269, 60-69.

8.    Wang, X.*, Lim, J. and Stokes, S. L. (2008), "A Nonparametric Mean Estimator for Judgment Post-stratified Data". Biometrics. 64(2), 355-363.

9.    Lim, J., Wang, X.*, Lee, S., and Jung, S. (2008), “A Distribution-Free Test of Constant Mean in Mixed Effects Models”. Statistics in Medicine, 27(19), 3833-3846.

10.    Abu-Nimeh, S., Nappa, D., Wang, X., and Nair S. (2008), “Bayesian Additive Regression Trees-Based Spam Detection for Enhanced Email Privacy”. 2008 Third International Conference on Availability, Reliability and Security, 1044-1051.

11.    Abu-Nimeh, S., Nappa, D., Wang, X., and Nair, S. (2008), “A Distributed Architecture for Phishing Detection using Bayesian Additive Regression Trees”. eCrime Researchers Summit, 1-10.

12.    Xie, Y, Wang, X., and Story, M. (2009), “Statistical Methods of Background Correction for Illumina Beadarray Data”. Bioinformatics, 25(6), 751-757. 

13.    Lim, J., Kim, S. J., and Wang, X.* (2009), “Estimation of Stochastically Ordered Survival Functions by Geometric Programming”. Journal of Computational and Graphical Statistics, 18(4), 978-994.

14.    Lim, J., Wang, X., and Choi, W. (2009), “Maximum Likelihood Estimation of Ordered Multinomial Probabilities by Geometric Programming”. Computational Statistics and Data Analysis, 53(4), 889-893.

15.    Abu-Nimeh, S., Nappa, D., Wang, X., and Nair, S. (2009), "Hardening Email Security using Bayesian Additive Regression Trees", in Machine Learning, edited by Mellouk, A. and Chebira, A., I-Tech Education and Publishing, Ch. 9.

16.    Abu-Nimeh, S., Nappa, D., Wang, X., and Nair, S. (2009), “Distributed Phishing Detection by Applying Variable Selection using Bayesian Additive Regression Trees”. ICC ’09, IEEE International Conference on Communications, 14(18), 1-5.

17.    Chen, M., Xia, Y., and Wang, X. (2010), “Managing Supply Uncertainties Through Bayesian Information Update”. IEEE, Robotics and Automation Society, 7(1), 24-36.

18.    Wang, X.* and Karr, A. F. (2010), “Preserving Data Utility via BART”. Journal of Statistical Planning and Inference. 140(9), 2551-2561.

19.    Chen, M. and Wang, X. (2011), “Approximate Predictive Densities and Their Applications in Generalized Linear Models”. Computational Statistics and Data Analysis. 55(4), 1570-1580.

20.    Xiao, G., Wang, X., and Khodursky, A. (2011), “Modeling Three-dimensional Chromosome Structures Using Gene Expression Data”. Journal of the American Statistical Association. 106(493), 61-72. (This paper was highlighted in the May 2011 issue of Amstat News).

21.    Wang, X.*, Wang, K., and Lim, J. (2012), “Isotonized CDF Estimation from Judgment Post-stratification Data with Empty Strata”. Biometrics. 68(1), 194-202.

22.    Wang, X.*, Chen, M., Khodursky, A., and Xiao, G. (2012), “Bayesian Joint Analysis of Gene Expression Data and Gene Functional Annotations”. Statistics in Biosciences. 4(2), 300-318.

23.    Xiao, G., Wang, X., LaPlant, Q., Eric J. Nestler, and Xie, Y. (2013), “Detection of Epigenetic Changes Using ANOVA with Spatially Varying Coefficients”. Statistical Applications in Genetics and Molecular Biology. 12(2), 189-205. DOI: 10.1515/sagmb-2012-0057.

24.    Wang, X., Zang, M., and Xiao, G. (2013), “Epigenetic Change Detection and Pattern Recognition via Bayesian Hierarchical Hidden Markov Models”. Statistics in Medicine. 32(13), 2292-2307. DOI: 10.1002/sim.5658.

25.    Chen, M., Zang, M., Wang, X., and Xiao, G. (2013), “A Powerful Bayesian Meta-analysis Method to Integrate Multiple Gene Set Enrichment Studies”. Bioinformatics. 29(7), 862-869. DOI: 10.1093/bioinformatics/btt068. 

26.    Lim, J. and Wang, X. (2013), “Response to Letter to the Editor by Dr. Vossoughi” Statistics in Medicine. 32(4), 717. DOI: 10.1002/sim.5660.

27.    Yang, J., Wang, X., Kim, M., Xie, Y., and Xiao, G. (2014), “Detection of Candidate Tumor Driver Genes Using a Fully Integrated Bayesian Approach”. Statistics in Medicine. 33(10), 1784-1800. DOI: 10.1002/sim.6066.

28.    Lim, J., Chen, M., Park, S., Wang, X., and Stokes, L. (2014), “Kernel Density Estimators for Ranked Set Samples”. Communication in Statistics. 43, 2156-2168. DOI: 10.1080/03610926.2013.791372.

29.    Ahn, S., Lim, J., and Wang, X. (2014), “The Student’s t Approximation to Distributions of Pivotal Statistics from Ranked Set Samples”. Journal of the Korean Statistical Society. 43(4), 643-652. DOI: 10.1016/j.jkss.2014.01.004.

30.    Chen, M., Ahn, S., Wang, X., and Lim, J. (2014), “Generalized Isotonized Mean Estimators for Judgment Post-stratification with Multiple Rankers”. Journal of Agricultural, Biological, and Environmental Statistics. 19(4), 405-418.

31.    Wang, X.*, Lim, J., Kim, S. J., and Hahn, K. S., (2015), “Estimating Cell Probabilities in Contingency Tables with Constraints on Marginals/Conditionals by Geometric Programming with Applications”. Computational Statistics. 30(1), 107-129. DOI: 10.1007/s00180-014-0525-y.

32.    Zang, X., Chen, M., Zhou, Y., Xiao, G., Yang, X.*, and Wang, X.* (2015), “Identification of CDKN3 Gene Expression as a Prognostic Biomarker in Lung Adenocarcinoma via Meta-analysis”. Cancer Informatics. 14, 183-191. DOI: 10.4137/CIN.S17287. 

33.    Bai, O., Chen, M., and Wang, X.* (2016), “Bayesian Estimation and Testing in Random Effects Meta-Analysis of Rare Binary Events”. Statistics in Biopharmaceutical Research. 8(1), 49-59. DOI: 10.1080/19466315.2015.1096823.

34.    Park, S., Kim, S.J., Yu, D., Peņa-Llopis, S., Gao, J., Park, J.S., Chen, B., Norris, J., Wang, X., Chen, M., Kim, M., Yong, J., Wardak, Z., Choe, K., Story, M., Starr, T., Cheong, J.H., and Hwang, T.H. (2016), “An integrative somatic mutation analysis to identify pathways linked with survival outcomes across 19 cancer types”. Bioinformatics. 32(11), 1643-1651. DOI: 10.1093/bioinformatics/btv692.

35.  Wang, X., Lim, J., and Stokes, S. L. (2016), “Using Ranked Set Sampling with Cluster Randomized Designs for Improved Inference on Treatment Effects”. Journal of the American Statistical Association. 111(516), 1576-1590. DOI:10.1080/01621459.2015.1093946.

36.    Wang, X.*, Ahn, S., and Lim, J. (2017), “Unbalanced Ranked Set Sampling in Cluster Randomized Studies”. Journal of Statistical Planning and Inference. 187, 1-16. DOI: 10.1016/j.jspi.2017.02.005.

37.    Ahn, S., Wang, X., and Lim, J. (2017), “On Unbalanced Group Sizes in Cluster Randomized Designs Using Ranked Set Sampling”. Statistics and Probability Letters. 123, 210-217. DOI: 10.1016/j.spl.2016.12.007.

38.    Zamanzade, E. and Wang, X. (2017), “Estimation of Population Proportion for Judgment Post-stratification”. Computational Statistics and Data Analysis. 112, 257-269. DOI: 10.1016/j.csda.2017.03.016.

39.    Li, L., Wang, X.*, Xiao, G., and Gazdar, A. (2017), “Integrative Gene Set Enrichment Analysis Using Isoform Specific Expression”. Genetic Epidemiology. 41(6), 498-510. DOI: 10.1002/gepi.22052.

40.    Jia, G., Wang, X.*, and Xiao, G*. (2017), “PBNPA: a Permutation Based Non-parametric Analysis of CRISPR Screen Data”. BMC Genomics. 18:545, DOI: 10.1186/s12864-017-3938-5.

41.    Yu, D., Lim, J., Wang, X., Liang, F., and Xiao, G. (2017), “Enhanced Construction of Gene Regulatory Networks using Hub Gene Information”. BMC Bioinformatics. 18:186, 210-217. DOI: 10.1186/s12859-017-1576-1.

42.    Lu, W., Wang, X.*, Zhan, X. and Gazdar, A. (2018), “Meta-analysis Approaches to Combine Multiple Gene Set Enrichment Studies”. Statistics in Medicine. 37:4, 659-672. DOI:10.1002/sim.7540.

43.    Zamanzade, E. and Wang, X. (2018), “Proportion Estimation in Ranked Set Sampling in the Presence of Tie Information”. Computational Statistics. 33(3), 1349-1366. DOI: 10.1007/s00180-018-0807-x.

44.    Son, W., Lim, J. and Wang, X. (2018), “Accuracy of Regularized D-rule for Binary Classification”. Journal of the Korean Statistical Society. 47(2), 150-160. DOI: 10.1016/j.jkss.2017.11.002.

45.    Li, L., Bai, O., and Wang, X.* (2018), “An Integrative Shrinkage Estimator for Random-Effects Meta-Analysis of Rare Binary Events”. Contemporary Clinical Trials Communications. 10, 141-147. DOI: 10.1016/j.conctc.2018.04.004.

46.    Wang, T., Lu, R., Kapur, P., Jaiswal, B., Hannan, R., Zhang, Z., Pedrosa, I., Luke, J. J., Zhang, H., Goldstein, L. Yousuf, Q., Gu, Y., McKenzie, T., Joyce, A., Kim, M.S., Wang, X., Luo, D., Onabolu, O., Xie, Z., Chen, M., Filatenkov, A., Torrealba, J., Luo, X., Guo, W., He, J., Stawiski, E., Modrusan, Z., Durinck, S., Seshagiri, S., Brugarolas, J. (2018), “An Empirical Approach Leveraging Tumorgrafts to Dissect the Tumor Microenvironment in Renal Cell Carcinoma Identifies Missing Link to Prognostic Inflammatory Factors”. Cancer Discovery. CD-17-1246. DOI: 10.1158/2159-8290.CD-17-1246.

47.    Li, Q., Wang, X., Liang, F., Yi, F., Yang, X., Gazdar, A. and Xiao, G. (2018), “A Bayesian Hidden Potts Mixture Model for Analyzing Lung Cancer Pathological Images”. Biostatistics. In Press.

48.    Li, X. and Wang, X.* and Xiao, G. (2018), “A Comparative Study of Rank Aggregation Methods for Partial and Top Ranked Lists in Genomic Applications”. Briefings in Bioinformatics. In Press. DOI: 10.1093/bib/bbx101.

49.    Li, L., and Wang, X.* (2018), “Meta-Analysis of Rare Binary Events in Groups with Unequal Variability”. Statistical Methods in Medical Research. In Press. DOI: 10.1177/0962280217721246. (This paper has won an honorable mention award in the ASA Biopharmaceutical Section's student paper competition for JSM 2017).

50.    Li, X., Choudhary, P. K., Biswas, S., and Wang, X.*, “A Bayesian Latent Variable Approach to Aggregation of Partial and Top Ranked Lists in Genomic Studies”. Statistics in Medicine. In Press. DOI: 10.1002/sim.7920.

51.    Seongoh, P., Lim, J., Wang, X., and Lee, S., “Permutation-based Testing for Covariance Separability”. Accepted by Computational Statistics. 

Doctoral Students Supervised

Advisor of Dario Nappa “Bayesian Classification Using Bayesian Additive Regression Trees,” Ph.D. in Statistical Science, SMU, 2008.
Co-advisor of Saeed Abu Nimeh
“Phishing Detection Using Distributed Bayesian Additive Regression Trees,” Ph.D. in Computer Science, SMU, 2008 (Advisor: Prof. Suku Nair).

Advisor of Ke Wang

“Estimating Cumulative Distribution Functions from JPS Data with Empty Strata and Analyzing High-Throughput Data via Hierarchical Bayesian Spatial Modeling,”
Ph.D. in Statistical Science, SMU, 2012.
Advisor of Miao Zang “Bayesian Meta-Analysis of Pathway Enrichment Analysis,” Ph.D. in Statistical Science, SMU, 2012.
Co-advisor of Holly Stovall
“Ranked Set Sampling and its Applications in Educational Statistics,” Ph.D. in Statistical Science, SMU, 2012 (Advisor: Prof. Lynne Stokes).
Advisor of Ou Bai
“Two Topics in Statistics: Bayesian Meta-analysis of Rare Binary Adverse Event Data & Using Ranked Set Sampling with Randomized Block Designs,” Ph.D. in Statistical Science, SMU, 2014.
Advisor of Wentao Lu
"Meta-Analysis Approaches to Combine Multiple Gene Set Enrichment Studies", Ph.D. in Statistical Science, SMU, 2016.
Co-advisor of Soohyun Ahn “Imbalance under RSS-structured Cluster Randomized Design,” Ph.D. in Statistics, Seoul National University, 2016  (Advisor: Prof.  Johan Lim).
Advisor of Lie (Nathan) Li “Development of Meta-Analysis Methods in Biomedical Studies,” Ph.D. in Statistical Science, SMU, 2017.
Advisor of Mumu Wang, “Using Ranked Set Sampling with Binary Outcomes in Cluster Randomized Designs,” Ph.D. in Statistical Science, SMU, 2017.
Advisor of Xue (Lily) Li “Rank Aggregation Methods in Genomic Applications,” Ph.D. in Statistical Science, SMU, 2017.
Advisor of Gaoxiang (Douglas) Jia, “Developing Statistical Methods for Data from Platforms Measuring Gene Expression”, Ph.D. in Biostatistics, SMU-UTSW, 2018, (Co-advisor: Prof. Andy. Xiao).

Current  Ph.D. Students

Chiyu (Victor) Zhang, Statistics
Guanshen Wang, Statistics
Shen Yin, Biostatistics