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Research

Research Interests

  • High-dimensional data analysis and big data analytics
  • Statistical learning and machine learning
  • Proteomics, bioinformatics, statistical genomics and precision medicine
  • Survival analysis and longitudinal data analysis
  • Statistical modeling and statistical practice

Publications

The names with underscore indicate student collaborators.

  1. Wang, S. and Zhu, J. (2007) Improved centroids estimation for the nearest shrunken centroid classifier. Bioinformatics, 23, 972-979.
  2. Wang, S. and Zhu, J. (2008) Variable selection for model-based high-dimensional clustering and its application to microarray data. Biometrics, 64, 440-448.
  3. Wang, S., Nan, B., Zhu, J. and Beer, D.G. (2008) Doubly penalized Buckley- James method for survival data with high-dimensional covariates. Biometrics, 64, 132-140.
  4. Clark, N.M., Gong, M.Z., Wang, S., Lin, X., Bria, W.F. and Johnson, T.R. (2007) A Randomized Trial of a Self-Regulation Intervention for Women With Asthma. Chest, 132, 88-97.
  5. Adler, J., Raju, S., Beveridge, A.S., Wang, S., Zhu, J. and Zimmermann, E.M. (2008) College adjustment in University of Michigan students with Crohn’s and colitis. Inflammatory Bowel Disease, 14, 1281-1286.
  6. Joyce, J.C., Waljee, A.K., Khan, T., Wren, P.A., Dave, M., Zimmermann, E.M., Wang, S., Zhu, J. and Higgins, P.D.R. (2008) Identification of symptom domains in ulcerative colitis that occur frequently during flares and are responsive to changes in disease activity. Health and Quality of Life Outcomes, 6, 69-80.
  7. Wang, S., Zhou, N., Nan, N. and Zhu, J. (2009). Hierarchically penalized Cox model for survival data with grouped variables and its oracle property. Biometrika, 96, 307-322.
  8. Valerio, M.A., Gong, M.Z., Wang, S., Bria, W.F., Johnson, T.R. and Clark, N.M. (2009). Overweight Women and Management Of Asthma. Women’s Health Issues, 19, 300-305.
  9. Kuan, P., Wang, S., Zhou, X. and Chu, H. (2010) A statistical framework for Illumina DNA methylation arrays. Bioinformatics, 26, 2849-2855.
  10. Waljee, A.K., Joyce, J.C., Wang, S., Saxena, A., Hart, M., Zhu, J. and Higgins, D.R.P. (2010) Algorithms Outperform Metabolite Tests in Predicting Response of Patients With Inflammatory Bowel Disease to Thiopurines. Clinical Gastroenterology and Hepatology, 8, 143-150.
  11. Clark, N.M., Gong, Z.M., Wang, S., Valerio, M.A., Bria, W.F., Johnson, T.R. (2010) From the female perspective: Long term effects on quality of life of a program for women with asthma. Gender Medicine, 7, 125-136.
  12. Chamberlain, CS, Leiferman, EM, Frisch, KE, Wang, S., Yang, X., Brickson, SL and Vanderby, R. (2010) The Influence of Macrophage Depletion on Ligament Healing. Connective Tissue Research, 52, 203-211.
  13. Oczko-Walker, M., Manousakis, G., Wang, S., Malter, JS and Waclawik AJ (2010) Plasma exchange after initial IVIG treatment in Guillain-Barre syndrome: critical reassessment of effectiveness and cost-efficiency. Journal of Clinical Neuromuscular Disease, 12, 55-61.
  14. Wang, S., Nan, B., Rosset, S. and Zhu, J. (2011) Random Lasso. Annals of Applied Statistics, 5, 468-485.
  15. Shao, J., Wang, Y., Deng, X. and Wang, S. (2011) Sparse Linear Discriminant Analysis With High Dimensional Data. Annals of Statistics, 39, 1241-1265.
  16. Chamberlain, CS, Leiferman, EM, Frisch, KE, Yang, X., Wang, S. and Vanderby, R. (2011) The Influence of Interleukin-4 on Ligament Healing. Wound Repair and Regeneration, 19, 426-435.
  17. Zhang, J., Guy, J. M., Norman, H. A., Chen, Y., Dong, X., Wang, S., Kohmoto, T.;Young, K. H.; Moss, R. L.; Ge, Y. (2011) Top-Down quantitative proteomics identified phosphorylation of cardiac troponin I as a candidate biomarker for chronic heart failure. Journal of Proteome Research, 10, 4054-4065.
  18. Li, Z., Wang, S. and Lin, X. (2012) Variable Selection and Estimation in high- dimensional classification With the Seamless-L0 Penalty. Canadian Journal of Statistics, 40 (4): 745-769.
  19. Wu, T. and Wang, S. (2013) Doubly Regularized Cox Regression for High-dimensional Survival Data with Group Structures. Statistics and Its Interface, 6: 175–186.
  20. Lin, Y., Wang, S. and Chappell, R. (2013) Lasso Tree for Cancer Stage Grouping with Survival Data. Biostatistics, 14 (2): 327-339.
  21. Shen, R.*, Wang, S.* and Mo, Q. (2013) Sparse Integrative Clustering of Multiple Omics Data Sets. Annals of Applied Statistics, 7(1), 269-294. (*: equally contributed)
  22. Eng, H.K., Wang, S., Bradley, W.H., Rader, J.S. and Kendziorski, C. (2013) Pathway-Index Models for Construction of Patient-Specific Risk Profiles. Statistics in Medicine, 32(9): 1524-1535.
  23. Mo, Q., Wang, S., Sehsan, V., Olshen, A.B., Schultz, N., Sander, C., Powers, S., Ladanyi, M. and Shen, R. (2013) Novel Pattern Discovery and Cancer Gene Identification in Integrated Cancer Genomic Data. Proceedings of the National Academy of Sciences of the United States of America, 110(11): 4245-4250.
  24. Chen, Q.* and Wang, S.* (2013) Variable Selection for Multiply-Imputed Data. Statistics in Medicine, 32(21): 3646-3659.
  25. Lin, Y., Yu, M., Wang, S. and Chappell, R. Advanced Colorectal Neoplasia Risk Stratification by Penalized Logistic Regression (2013), Statistical Methods in Medical Research, 25(4): 1677-1691.
  26. Wang, S., Schroeder, K. and Galgon, R. (2013) A Failure to Reach Statistical Significance-Magnesium Sulfate Pretreatment Did Not Reduce the Incidence of Propofol Injection Pain. Saudi Journal of Anaesthesia, 7(1): 109-110.
  27. Sesto, M.E., Faatin, M., Wang, S., Tevaarwerk, A.J. and Wiegmann, D.A. (2013) Employment and retirement status of older cancer survivors compared to non-cancer siblings. WORK: A Journal of Prevention, Assessment, and Rehabilitation, 46(4), 445-453.
  28. Li, Q., Wang, S.,Huang, C., Yu, M. and Shao, J. Meta-analysis based variable selection for gene expression data. (2014) Biometrics, 70(4), 872-880.
  29. Bernardon, B., Thein-Nissenbaum, J., Fast, J., Day, M., Wang, S., Li, Q. and Scerpella, T. (2014) A school-based resistance intervention improves skeletal growth in adolescent females. Osteoporosis International, 25(3), 1025-1032.
  30. Wilson, J., Lee, K.S., Miller, A.T. and Wang, S. (2014) Platelet-Rich plasma for the treatment of chronic plantar fasciopathy in adults: a case series. Foot & Ankle Specialist, 7(1), 61-67.
  31. Badke, M., Sherry, J., Sherry, M., Jindrich, S., Schick, K., Wang, S. and Boissonnault, W. (2014) Physical Therapy Direct Patient Access Versus Physician Patient-Referred Episodes of Care: Comparisons of Cost, Resource Utilization & Outcomes. Physical Therapy Journal of Policy, Administration, and Leadership, 14 (3), pJ1.
  32. Coursin, D., Head, D., Chen, G., Li, Q., Wang, S. and Hogan, K. (2014) Vitamin D Deficiency in Anesthesia Caregivers at the End of Winter. Acta Anaesthesiologica Scandinavica, 58 (7), 802-806.
  33. Wille, C.M., Lenhart, R.L., Wang, S., Thelen, D.G. and Heiderscheit, B.C. (2014) Capacity of Sagittal Kinematic Variables to Estimate Ground Reaction Forces and Joint Kinetics in Running. Journal of Orthopaedic & Sports Physical Therapy, 44 (10), 825-830.
  34. Geng, Z., Wang, S., Yu, M., Patrick, O.M., Champion, V. and Wahba, G. Group variable selection via convex Log-Exp-Sum penalty with application to a breast cancer survivor study (2015). Biometrics, 71(1), 53–62.
  35. He, Z., Tu, W., Wang, S., Fu, H. and Yu, Z. Simultaneous variable selection for joint models of longitudinal and survival outcomes. (2015) Biometrics, 71 (1), 178-187.
  36. Kong, J., Wang, S. and Wahba, G. Using distance covariance for improved variable selection with application to learning genetic risk models. (2015) Statistics in Medicine, 34 (10), 1708-1720.
  37. Xu, Y., Yu, M., Zhao, Y., Li, Q., Wang, S. and Shao, J. Regularized Outcome Weighted Subgroup Identification for Differential Treatment Effects. (2015), Biometrics, 71 (3), 645–653.
  38. Xiong, L., Kuan, P.F., Tian, J., Keles, S. and Wang, S. Multivariate boosting for integrative analysis of high dimensional cancer genomic data. (2015), Cancer Informatics, 15;13(Suppl 7):123-31.
  39. Galgon, R.E., Strube, P., Heier, J., Groth, J., Wang, S. and Schroeder, K.M. (2015) Magnesium sulfate with lidocaine for preventing propofol injection pain: a randomized, double-blind, placebo- controlled trial. Journal of Anesthesia, 29 (2), 206-211.
  40. Gregorich, Z.R., Peng, Y., Lane, N.M., Wolff, J.J., Wang, S., Guo, W., Guner, H., Doop, J., Hacker, T.A. and Ge, Y. (2015) Comprehensive assessment of chamber-specific and transmural heterogeneity in myofilament protein phosphorylation by top-down mass spectrometry. Journal of Molecular and Cellular Cardiology, 87, 102-112.
  41. He, Q., Kong, L., Wang, Y., Wang, S., Chane, T.A. and Holland, E. Regularized quantile regression under heterogeneous sparsity with application to quantitative genetic traits. (2016), Computational Statistics & Data Analysis, 95: 222-239.
  42. Scerpella, T.A., Bernardonic, B., Wang, S., Rathouz, P.J., Li, Q., Dowthwaite, J.N. (2016) Site-Specific, Adult Bone Benefits Attributed to Loading During Youth: A Preliminary Longitudinal Analysis. Bone, 85, 148-59.
  43. Li, Q., Yu, M. and Wang, S. A statistical framework for pathway and gene identification from integrative analysis. (2017), Journal of Multivariate Analysis, 156: 1-17.
  44. Grabowski, P., Wilson, J., Walker, A., Enz, D. and Wang, S. (2017) Multimodal impairment-based physical therapy for the treatment of patients with post-concussion syndrome: A retrospective analysis on safety and feasibility. Physical Therapy in Sport, 23: 22-30.
  45. Li, Y., Wang, S., Song, P., Wang, N., Zhou, L. and Zhu, J. Doubly regularized estimation and selection in linear mixed-effects models for high-dimensional longitudinal data. (2018), Statistics and Its Interface, 11(4): 721–737.
  46. Shao, C., Liu, Z., Yang, H., Wang, S. and Burley, S.K. Outlier analyses of the Protein Data Bank archive using a probability-density-ranking approach. (2018), Nature: Scientific Data, Vol. 5, Article number: 180293.
  47. Chen, K., Li, W., Wang, S. An Easy-to-Implement Hierarchical Standardization for Variable Selection under Strong Heredity Constraint. (2020), Journal of Statistical Theory and Practice, 14(3): 38.
  48. Li, Y., Liang, M., Mao, L. and Wang, S. Robust Estimation and Variable Selection for the Accelerated Failure Time Model. (2021), Statistics in Medicine, 40(20): 4473-4491.
  49. Andrew J. Schneider, A.J., Grimes, M., Lyon, W., Kemper, A. Wang, S. and Bushman, W. Cluster analysis of men undergoing surgery for BPH/LUTS reveals prominent roles of both bladder outlet obstruction and diminished bladder contractility. (2021) PLOS One, 16(5): e0251721.
  50. Zhou, S.*, Liu, Y.*, Wang, S. and Wang, L. Effective prediction of short hydrogen bonds in proteins via machine learning method. (2022) Nature: Scientific Report, 12: 469 (*: equally contributed)
  51. Shao, C., Westbrook, J.D., Lu, C., Bhikadiya, C., Peisach, E., Young, J.Y., Duarte, J.M., Lowe, R., Wang, S., Rose, Y., Feng, Z. and Burley, S.K. Simplified quality assessment for small-molecule ligands in the Protein Data Bank. (2022), Cell: Structure, 30(2): 252-262.
  52. Lu, C., Stentz, S.Z., Lubin, J.H., Wang, S. and Khare, S.D. Prediction of Enzyme Specificity using Protein Graph Convolutional Neural Networks. (2022+)
  53. Zhou, S.*, Liu, Y.*, Wang, S. and Wang, L. Short hydrogen bonds prediction in ligand via machine learning method. (2022+) (*: equally contributed)
  54. Shao, C., Wang, S. and Burley, S.K. Assessing PDB Macromolecular Crystal Structure Confidence at the Individual Amino Acid Residue Level. (2022+)
  55. Lu, C., Shao, C., Burley, S.K. and Wang, S. Multivariate Analyses of Small-molecule Ligand Data in the Protein Data Bank. (2022+)
  56. Schneider, A.J., Serrell, E.C., Grimes, M., Wang, S. and Bushman, W., 2023. Histologic inflammation and collagen content are not positively correlated in human BPH. The Prostate.