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Pei Geng

Assistant Professor
Stevenson Hall - STV 309 B
  • About
  • Education
  • Awards & Honors
  • Research

Research Interests & Areas

Measurement error models, nonparametric statistics, biostatistics.

Ph D Statistics

Michigan State University
East Lansing, MI

MS Statistics

East China Normal University
Shanghai, China

BS Mathematics

Capital Normal University
Beijing, China

Outstanding Departmental Teaching Award

Illinois State University

NatSci Excellence-in-Teaching Citation

Michigan State University

Book, Chapter

Koul, H., & Geng, P. Weighted Empirical Minimum Distance Estimators in Berkson Measurement Error Regression Models. Analytical Methods in Statistics. Springer International Publishing (2020): 31-71.

Conference Proceeding

Koul, H.L. and Geng, P. (2019). Weighted empirical minimum distance estimators in Berkson measurement error regression models, Springer Proceedings in Mathematics & Statistics - Analytical Methods in Statistics, 31-71.

Journal Article

Geng, P. and Koul, H.L. (2019). Minimum distance model checking in Berkson measurement error models using validation data, TEST, 28(3), 879-899.
Geng, P., Tong, X. and Lu, Q. (2019). An integrative U method for joint analysis of multi-level omic data, BMC-Genetics 20, 40. doi:10.1186/s12863-019-0742-z.
Geng, P. and Koul, H.L. (2017). Model checking in Tobit regression with measurement errors using validation data, Journal of Statistical Planning and Inference, 190, 15-31.


Deline, M.B., Dalrymple, K., Worwood, J., Geng, P., Reed, E. Sticking my head in the sand: Motives for environmental information avoidance. (Forthcoming). International Communication Association. Online.