Michael Pennell, PhD

Associate Professor

Michael Pennell, PhD


1841 Neil Ave.
246 Cunz Hall
Columbus, OH, 43210
Email: pennell.28@osu.edu
Phone: 614-247-7936
View CV

Professional Overview

Dr. Pennell's research interests include nonparametric Bayes, first hitting time models for survival analysis, design and analysis of Group Randomized Trials, joint modeling outcomes of different scales, statistical methods in toxicological risk assessment, and statistical applications in biomedical research including cancer control, pathology, and veterinary medicine.


PhD, Biostatistics, University of North Carolina at Chapel Hill, 2006
MS, Biostatistics, University of North Carolina at Chapel Hill, 2002
BS, Biology, University of Puget Sound, 2000

Selected Publications

Race, J. and Pennell, M.L. (2020). Semi-parametric survival analysis via Dirichlet Process mixtures of the first hitting time model. Lifetime Data Analysis. In press.

Nattino, G., Pennell, M.L., and Lemeshow, S. (2020). Assessing the goodness of fit of logistic regression models in large samples: a modification of the Hosmer-Lemeshow Test. Biometrics. 76, 549-560.

Hwang, B.S. and Pennell, M.L. (2018). Semiparametric Bayesian joint modeling of clustered binary and continuous outcomes with informative cluster size in developmental toxicity assessment.  Environmetrics. 29, e2526.

Xi, W., Pennell, M.L., Andridge, R.A., and Paskett, E.D. (2018).Comparison of intent-to-treat strategies for pre-post studies with loss to follow-up.  Contemporary Clinical Trials Communications.  11, 20-29.

Erich, R. and Pennell, M.L. (2015). Ornstein-Uhlenbeck threshold regression models for time to event data with and without a cure fraction. Lifetime Data Analysis. 21, 1-19.