Assistant Professor of Biostatistics
I am particularly interested in the development of innovative adaptive clinical trial designs. My research includes the study of methodologies for the analysis of data generated by adaptive trials. I am also particularly interested in Bayesian nonparametric, a great source of modeling opportunity in biomedical applications as well as, both computational and theoretical problems.
Lorenzo Trippa and Pietro Muliere. Bayesian nonparametric binary regression via random tessellations. Statistics & Probability Letters, 79(21):2273–2280, November 2009.
L. Trippa, P. Muller, and W. Johnson. The multivariate beta process and an extension of the Polya tree model. Biometrika, 98(1):17–34, February 2011.
Lorenzo Trippa, Paolo Bulla, and Sonia Petrone. Extended Bernstein prior via reinforced urn processes. Annals of the Institute of Statistical Mathematics, 63(3):481–496, April 2011.
Lorenzo Trippa and Stefano Favaro. A Class of Normalized Random Measures with an Exact Predictive Sampling Scheme. Scandinavian Journal of Statistics, (dx):no–no, September 2011.
Lorenzo Trippa and Giovanni Parmigiani. False discovery rates in somatic mutation studies of cancer. The Annals of Applied Statistics, 5(2B):1360–1378, June 2011.
Lorenzo Trippa, Gary L Rosner, and Peter M¨ uller. Bayesian enrichment strategies for randomized discontinuation trials. Biometrics, 68(1):203–11, March 2012.
Lorenzo Trippa, Gary L. Rosner, and Peter M¨ uller. Rejoinder. Biometrics, 68(1):224–225, March 2012
Lorenzo Trippa, Eudocia Q Lee, Patrick Y Wen, Tracy T Batchelor, Timothy Cloughesy, Giovanni Parmigiani, and Brian M Alexander. Bayesian Adaptive Randomized Trial Design for Patients With Recurrent Glioblastoma. Journal of clinical oncology : official journal of the American Society of Clinical Oncology, May 2012.