Jingyun (Michael) Yang, Ph.D.

Jingyun (Michael) Yang, Ph.D. Research Associate, The Methodology Center

The Methodology Center

The Pennsylvania State University

400 Calder Square II

State College, PA 16801

jingyun@psu.edu

814-863-5836

Education

Ph.D., The Pennsylvania State University, 2007 (Statistics)

M.S., The Pennsylvania State University, 2004 (Statistics)

M.A., University of Oregon, 2002 (Sociology)

B.L.., Renmin University of China (People’s University of China), 2000 (Sociology)

Research Interests

My previous research involved genetic epidemiology of complex disorders, such as cardiovascular disease, diabetes and metabolic syndrome. I am particularly interested in gene-, pathway-based and meta-analysis of effects of genetics variants and gene and environmental interactions.

I am also interested in combining dependent p-values in the analysis of panel data.

Methodology Center Research Areas:

Current Projects and Collaborators

I work with Stephanie Lanza, Runze Li, and Linda Collins of The Methodology Center on the development and application of SAS macros for time-varying effect model (TVEM) and finite mixture model. I am revising the TVEM macro to allow for binary and count responses

I also collaborate with Dr. David Greer at Yale University on prediction of recovery of patients with non-traumatic coma who suffered cardiac arrest. I work with Dr. Jinying Zhao at University of Oklahoma Health Sciences Center to examine the effect of genetic variants in the nAChRs pathway and leukotriene pathway on diabetes and subclinical atherosclerosis. I also work with Dr. Xuguang Sheng at American University to develop an adaptive version of a p-value combination method.

Selected Publications

Peer-Reviewed Articles

Gyekis, J. P., Yu, W., Dong, S., Wang, H., Qian, J., Kota, P., & Yang, J. (2012). No association of genetic variants in BDNF with major depression: A meta- and gene-based analysis. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 162, 61-70.

He, Y., Deng, X., Yang, J., Li, Z., Li, H., Tortorello, M. L., & Zhang, W. (in press). Salmonella thermal resistance during desiccation and rehydration in low water activity foods. Applied and Environmental Microbiology.

Sheng, X., & Yang, J. (in press). Panel unit root tests by combining p-values: A comparative study. Journal of Probability and Statistics.

Sheng, X., & Yang, J. (in press). An adaptive truncated product method for combining dependent p-values. Economic Letters.

Chen, H., Wu, X., Wei, M., Eichner, J. E., Fan, Y., Zhang, Z., Lei, C., Stone, D. U., & Yang, J. (2012) Changes in visual impairment due to blinding trachoma in Sichuan province: A comparative study between 1987 and 2006. Ophthalmic Epidemiology, 19, 29-37.

Greer D., Yang, J., Scripko, P. D., Sims, J., Cash, S., Kilbride, R., Wu, O., Hafler, J. P., Schoenfeld, D. A., & Furie, K. L. (2012). Clinical examination for outcome prediction in non-traumatic coma. Critical Care Medicine, 40, 1150-1156.

Barbesino, G., Goldfarb, M., Parangi, S., Yang, J., Ross, D. S., & Daniels, G. H. (2012). Radioactive iodine remnant lobe ablation after hemithyroidectomy as an alternative to completion thyroidectomy in patients with follicular thyroid cancer: Long term follow-up. Thyroid, 22, 369-76.

Dong, S., Yang, J., Yu, W., Kota, P., Xia, X., & Xu, H. (2012). No association of genetic polymorphisms in CYP1B1 with primary open-angle glaucoma: A meta- and gene-based analysis. Molecular Vision, 18, 786-796. PMCID: PMC3324367

Sheng, X., & Yang, J. (2012). Truncated product methods for panel unit root tests. Oxford Bulletin of Economics and Statistics. Advance online publication. doi: 10.1111/j.1468-0084.2012.00705.x PMC Journal- In progress

Wang, H., Dong, S., Xu, H., Qian, J., & Yang, J. (2011) Genetic variants in FTO associated with metabolic syndrome: a meta- and gene-based analysis. Molecular Biology Reports, 39, 5691-8. PMCID: PMC338163

Yang, J. & Chinchilli, V. M. (2011). Fixed-effects modeling of Cohen’s kappa and weighted kappa for bivariate multinomial data: A perspective through generalized inverse. Journal of Probability and Statistics.

Yang, J. & Zhao, J. (2011) Cumulative effect of common genetic variants predicts incident type 2 diabetes: A study of 21,183 subjects from three large prospective cohorts. Epidemiology, 1(3).

Yang, J. & Chinchilli, V. M. Fixed-effects modeling of Cohen’s weighted kappa for bivariate multinomial data. (2010). Computational Statistics & Data Analysis, 55(2).

Shaw, N. D., Histed, S.N., Srouji, S.S., Yang, J., Lee, H., & Hall, J.E. (2010). Estrogen negative feedback on gonadotropin secretion: evidence for a direct pituitary effect in women. Journal of Clinical Endocrinology & Metabolism, 95(4).

Lubitz, C. C., Faquin, W. C., Yang, J., Mekel, M., Gaz, R. D., Parangi, S., Randolph, G. W., Hodin, R. A., & Stephen, A. E. (2010). Clinical and cytological features predictive of malignancy in thyroid follicular neoplasms. Thyroid, 20(1).

Turner B. G., Agarwal, D., Cizginer, S., Yang, J., & Brugge, W. R. (2010). Diagnosis of pancreatic neoplasia with EUS-FNA: a report of the accuracy. Gastrointestinal Endoscopy, 71(1).

Cobb, J. P., Moore, E. E., Hayden, D., Minei, J. P., Cuschieri, J., Yang, J., Li, Q., Lin, N., Brownstein, B. H., Hennessy, L., Mason, P., Schierding, W. S., Dixon, D. J., Tompkins, R. G., Warren, H. S., Schoenfeld, D., & Maier, R. V. (2009). Validation of the riboleukogram to detect ventilator-associated pneumonia after severe injury. Annals of Surgery, 250(4).

Yang, J. & Chinchilli, V. M. (2009). Fixed-effects modeling of Cohen’s kappa for bivariate multinomial data. Communications in Statistics, 38(20).

Book Chapters

Yang, J., & Wang, X. (2010). SAS. In Encyclopedia of research design. Thousand Oaks, CA: Sage.

Other Publications

Yang, J. (2012). Common statistical methods for clinical research with SAS examples [Book review]. Pharmaceutical Statistics. Advance online publication. doi: 10.1002/pst.1501

Yang, J. (2012). Using SAS for data management, statistical analysis, and graphics [Book review]. Pharmaceutical Statistics. Advance online publication. doi: 10.1002/pst.1504

Yang, J. (2012). Measures of interobserver agreement and reliability [Book review], Pharmaceutical Statistics. Advance online publication. doi: 10.1002/pst.1503

Zhao, J., Forsberg, C. W., Yang, J., Goldberg, J., Smith, N. L., & Vaccarino, V. (2010). MAOA methylation is associated with subclinical atherosclerosis in a monozygotic twin sample [Abstract]. Circulation, 122: A20043.

Yang, J. (2010). A handbook of statistical analyses using SAS [Book review]. (2010). Pharmaceutical Statistics.

Barbesino, G., Goldfarb, M., Parangi, S., Yang, J., Ross. D. S., & Daniels, G. H. (2009). Remnant lobe ablation with I-131 is an effective alternative to completion thyroidectomy in follicular thyroid cancer: long term follow-up of 39 cases. Thyroid 19 (s1).

Nagarkatti, S.S., Lubitz, C.C., Korngold, E., Samir, A., Arellano, H., Yang, J., Gaz, R. D., Parangi, S., Randolph, G. W., Hodin, R. A., & Stephen, A. E. (2009). Doppler flow in thyroid follicular neoplasms: is it useful? Thyroid 19 (s1).

Cizginer, S., Karaca, C., Turner, B.G., Yang, J., & Brugge, W. R. (2009). What is the relative accuracy of morphology, cytology, size, and CEA for differentiating mucinous from non-mucinous cystic lesions. Gastrointestinal Endoscopy 69 (5).

Cizginer, S., Turner, B.G., Karaca, C., Yang, J., Brugge, W. R. (2009). What is the relative accuracy of morphology, cytology, and CEA in predicting malignancy in pancreatic cysts. Gastrointestinal Endoscopy 69 (5).

Presentations

Yang, J., Zhu, Y., Cole, S. A., Haack, K., Beebe, L. A., Howard, B. V. …, Zhao, J. (2012, November). A gene-family analysis of 61 genetic variants in the nicotinic acetylcholine receptor genes for insulin resistance and type 2 diabetes in American Indians. Poster presented at the Penn State Diabetes and Obesity Institute Fall Research Forum, University Park, PA.

Gyekis, J. P., Yu, W., Dong, S., Wang, H., Qian, J., Kota, P., & Yang, J. (2012, June). No association between genetic variants in BDNF and major depression: A meta- and gene-based analysis. Poster presented at the 20th Annual Meeting of the Society for Prevention Research, Washington, DC.

Vasilenko, S. A., Lanza, S. T., Liu, X., Piper, M. E., Yang, J., & Li, R. (2012, March). Time-Varying predictors of lapse after smoking cessation attempt. Poster presented at The Annual Meeting of the Society for Research on Nicotine and Tobacco, Houston, TX.

Yang, J., Tan, X., Li, R., & Lanza, S. T. (2012, March). Generalized time-varying effects models for intensive longitudinal data. Poster presented at The Annual Meeting of the Society for Research on Nicotine and Tobacco, Houston, TX.

Software and Documentation

LCA Distal SAS Macro (Version 2.0) [Software]. (2012). University Park: The Methodology Center, Penn State. Retrieved from http://methodology.psu.edu

Yang, J., Tan, X., Lanza, S. T., & Wagner, A. T. (2012). Lca distal SAS macro users' guide (Version 2.0). University Park: The Methodology Center, Penn State. Retrieved from http://methodology.psu.edu

TVEM SAS Macro Suite (Version 2.0.0) [Software]. (2012). University Park: The Methodology Center, Penn State. Retrieved from http://methodology.psu.edu

Yang, J., Tan, X., Li, R., & Wagner, A. (2012). TVEM (time-varying effect model) SAS macro suite users' guide (Version 2.0.0). University Park: The Methodology Center, Penn State. Retrieved from http://methodology.psu.edu