Assistant Professor
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Dr. Schnell's research areas of interest include Bayesian inference, simultaneous inference, dependent data, clinical trials, and personalized medicine. He is currently working on methods for handling clinical trial data in which certain groups may respond differently to treatment.
Bayesian inference, clinical trials, treatment effect heterogeneity, simultaneous inference, and complex diseases.
Schnell PM, Müller P, Tang Q, Carlin BP. "Multiplicity-adjusted semiparametric benefiting subgroup identification in clinical trials." Clin Trials. 2017 Oct 1:1740774517729167. doi: 10.1177/1740774517729167. [Epub ahead of print]
Schnell, P.M., Ball, G. "A Bayesian exposure-time method for clinical trial safety monitoring with blinded data." Therapeutic Innovation and Regulatory Science (to appear), 2016.
Schnell, P.M., Tang, Q., Offen, W.W., Carlin, B.P. "A Bayesian credible subgroups approach to identifying subgroups with positive treatment effects." Biometrics. 2016 Dec;72(4):1026-1036.
Travis, S.P.L. et al. (17 authors, including Schnell, P.M.) "The impact of clinical details on the assessment of endoscopic activity: characteristics of the ulcerative colitis endoscopic index of severity (UCEIS)." Journal of Crohn's and Colitis 9(8):607–16, 2015.
Schnell, P.M., Reich, B.J., Bandyopadhyay, D., Nunn, M. "A marginal cure-rate proportional hazards model for spatial survival data." Journal of the Royal Statistical Society, Series C 64(4):673–691, 2015.
Travis, S.P.L. et al. (17 authors, including Schnell, P.M.) "Reliability and initial validation of the ulcerative colitis endoscopic index of severity." Gastroenterology 145:987-995, 2013.
