Jing Cao, Associate Professor

 

Contact

 

Department of Statistical Science             
Southern Methodist University                 

3225 Daniel Avenue Avenue         

P O Box 750332                             

Dallas, Texas 75275-0332

Phone:    214-768-2451  Fax:  214-768-4035

jcao@smu.edu

Education

 

B.S.,  Applied Mathematics, Qingdao University, Qingdao, China, 1997

M.S.,  Econometrics, Xiamen University, Xiamen, China,  2000

M.S.,  Statistics, University of Missouri, Columbia, 2003

Ph.D., Statistics, University of Missouri, Columbia, 2005

,

Research Interests

  • Bayesian methodologies and applications  
  • High-throughput data analysis
  • Ordinal data analysis
  • Item response theory
  • Sample size determination in clinical trials

Teaching

  • STAT 2301 - Business Statistics  
  • STAT 6345 - Linear Regression
  • STAT 6395 – Bayesian Modeling

Research

Selected Publications

       ·  Cao, J., Xie, X., Zhang, S., Whitehurst, A., and White, M. (2009). Bayesian optimal discovery procedure for simultaneous significance testing. BMC Bioinformatics, 10:5.

       ·  Zhang, S and Cao, J. (2009). A close examination of double filtering with fold change and t test in microarray analysis. BMC Bioinformatics, 10:402.  

       ·  Livingston, E.H., Elliot, A.C., Hynan, L.S., and Cao, J. (2009). Effect size estimation: necessary component of statistical analysis. Archives of Surgery, 144, 706-712.

       ·  Cao, J., Lee, J.J., and Albert, S. (2009). Comparison of Bayesian sample size determination criteria: ACC, ALC, and WOC. Journal of Statistical Planning and Inference, 139, 4111-4122.

       ·  Cao, J., He, C., Suedkamp Wells, K.M., Millspaugh, J.J., and Ryan, M.R. (2009).  Modeling age and nest-specific survival using a hierarchical Bayesian approach. Biometrics, 65, 1052-1062.

       ·  Zhang, S., Cao, J., Kong, M., and Scheuermann, R.H. (2010). GO-Bayes: Gene Ontology-based over-representation analysis using a Bayesian approach. Bioinformatics, 26, 905-911.

       ·  Cao, J., Moosman, A., and Johnson, V.E. (2010). A Bayesian goodness-of-fit test for censored data. Biometric, 66, 426-434.

       ·  Cao, J., Stokes, S.L., and Zhang, S. (2010). A Bayesian approach to ranking and rater evaluation: an application to grant reviews. Journal of Educational and Behavioral Statistics, 35, 194-214.

       ·  Cao, J. and Stokes, S.L. (2010).  Evaluation of wine judge performance through three characteristics: bias, discrimination, and variation. Journal of Wine Economics, 5(2), 1-11.

       ·  Cao, J. and Zhang, S. (2010).  Measuring statistical significance for full Bayesian methods in microarray analysis. Bayesian Analysis, 5, 413-428.

       ·  Livingston, E.H. and Cao, J. (2010). Procedure volume as a predictor of surgical outcomes. Journal of the American Medical Association, 304, 95-97.

       ·  Zhang, S., Cao, J., and Chul, A. (2010).  Calculating sample size in trials using historical controls. Clinical Trials, 7, 343-353.

       ·  Livingston, E.H., Cao, J., and Dimick, J.B. (2010).  Tread carefully with stepwise regression. Archives of Surgery, 145, 1039-1040.

       ·  Cao, J. (2011). Unbiased FDR for full Bayesian methods in microarray analysis. Twenty Seventy Southern Biomedical Engineering Conference Proceedings, 5:2.

 

 

Research Grants

 

·         “Examination of Low Motivation in the 12th Grade NAEP (National Assessment of Educational Progress)”, Institute of Education Sciences, 2007-2008, Co-PI with Lynne Stokes.

·         “Continuous Progress Monitoring of Early Reading Skills”, Collins Foundation, 2007-2009, Co-PI with Patricia Mathes.

·         “Incorporating Gene Ontology and Pathway Knowledge into Over Representation Analysis”, National Institutes of Health, 2011-2014, PI.

Teaching

All course material is available via Blackboard.