Dr. French received his PhD in Biostatistics from the University of Washington in June 2008 and joined the faculty of the University of Pennsylvania in August 2008. His research interests are focused on analytic methodology for longitudinal data and clustered data. He is particularly interested in applying this methodology to quantify comparative effectiveness, to evaluate the impact of policy interventions, and to estimate volume-outcome associations. Additional research interests include genetic epidemiology, evaluation of predictive accuracy, and design of clinical trials. Dr. French’s collaborative interests include cardiovascular epidemiology and health economics.
French B, Heagerty PJ: Analysis of longitudinal data to evaluate a policy change. Statistics in Medicine 2008; 27(24):5005–5025.
French B, Heagerty PJ: Marginal mark regression analysis of recurrent marked point process data. Biometrics 2009; 65(2):415–422.
French B, Farjah F, Flum DR, Heagerty PJ: A general framework for estimating volume-outcome associations from longitudinal data. Statistics in Medicine 2012; 31(4):366-382.
Additional publications and projects can be found at Dr. French's website: dbe.med.upenn.edu/biostat-research/bcfrench