I am an Assistant Professor in Biostatistics at the Johns Hopkins School of Public Health. My research interests include adaptive clinical trial designs, robustness to model misspecification, causal inference, and HIV/AIDS prevention and treatment.
- Rosenblum, M, Liu H, Yen E-H. (2014) “Optimal Tests of Treatment Effects for the Overall Population and Two Subpopulations in Randomized Trials, Using Sparse Linear Programming” Journal of the American Statistical Association (Theory and Methods). In Press. [LINK]
- Rosenblum, M, (2014) “Uniformly Most Powerful Tests for Simultaneously Detecting a Treatment Effect in the Overall Population and at Least One Subpopulation” Journal of Statistical Planning and Inference. In Press. [LINK]
- Rosenblum, M. (2014) Adaptive Randomized Trial Designs that Cannot Be Dominated By Any Standard Design at the Same Total Sample Size. [Click here for Working Paper (under review at Biometrika)]
- Colantuoni, E. and Rosenblum, M. (2014) Leveraging Prognostic Baseline Variables to Gain Precision in Randomized Trials [Click here for Working Paper (under review at Statistics in Medicine)]
- Papers from half-day Workshop led by Michael Rosenblum on Adaptive Designs at the FDA, from the PACES (Partnership in Applied Comparative Effectiveness Science) Collaboration, June 26, 2013. [LINK]
- Rosenblum M. (2013) “Confidence intervals for the selected population in randomized trials that adapt the population enrolled” Biometrical Journal. 55(3):322-340. [PDF]
mrosen “–at–” jhu–dot–(dashes and this phrase inserted to avoid spam) edu