Matthew Psioda

Matthew A. Psioda, PhD

Adjunct Assistant Professor
Department of Biostatistics

Matthew Psioda in the Gillings News

Honors and Awards

Barry H. Margolin Dissertation Award
2016

FDA ORISE Fellow
2015-2017

Genomics and Cancer Training Grant recipient
2012-2014

Research Activities

- Bayesian Clinical Trial Design

- Bayesian Computation

- Complex Innovative Trial Designs

- Pragmatic Clinical Trials

- Type II Diabetes 

- Oncology 

- Cardiovascular Disease

Key Publications

A Practical Bayesian Adaptive Design Incorporating Data from Historical Controls. M. A. Psioda, M. Soukup, and J. G. Ibrahim (2018). Statistics in Medicine, 37(27), 4054-4070.

Bayesian Clinical Trial Design Using Historical Data That Inform the Treatment Effect. M. A. Psioda and J. G. Ibrahim (2019). Biostatistics, 30(3), 400-415.
View publication

Bayesian Adaptive Basket Trial Design Using Model Averaging. M. A. Psioda, J. Xu, Q. Jiang, C. Ke, Z. Yang, and J. G. Ibrahim (in press). Biostatistics.

Bayesian Design of Biosimilars Clinical Programs Involving Multiple Therapeutic Indications. M. A. Psioda, K. Hu, Y. Zhang, J. Pan, and J. G. Ibrahim Biometrics.
View publication

Bayesian Design of a Survival Trial with a Cured Fraction Using Historical Data. M. A. Psioda and J. G. Ibrahim (2018). Statistics in Medicine, 37(26), 3814-3831.

Education

  • PhD, Biostatistics, University of North Carolina at Chapel Hill, 2016
  • MS, Mathematics, University of North Carolina at Wilmington, 2006
  • BS, Mathematics, University of North Carolina at Wilmington, 2000