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.
Design and analysis of group randomized trials, first hitting time models for survival analysis, Bayesian nonparametrics, toxicological risk assessment
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.
Hwang, B.S. and Pennell, M.L. (2014). Semiparametric Bayesian joint modeling of a continuous and binary outcome with applications in toxicological risk assessment. Statistics in Medicine. 33, 1162-1175.
Paul, P., Pennell, M.L., and Lemeshow, S. (2013) Standardizing the power of the Hosmer-Lemeshow goodness of fit test in large datasets. Statistics in Medicine. 32, 67-80.