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.
Postdoc Positions Available
I have two postdoc positions available. One is in causal inference with applications in HIV prevention (Pre-Exposure Prophylaxis); the other is in adaptive randomized trial designs. Please email me your CV if you are interested to discuss these.
- Rosenblum, M. (in press) Adaptive Randomized Trial Designs that Cannot Be Dominated By Any Standard Design at the Same Total Sample Size. Biometrika. [LINK]
- 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). Volume 109. Issue 507. 1216-1228. [LINK]
Example of Optimal Rejection Regions Produced by Method in Above Paper:
- 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. Volume 155. 107-116. [LINK]
Patient Centered Outcomes Research Institute (PCORI) Funding for Methodological Research Project: Innovative Randomized Trial Designs to Generate Stronger Evidence about Subpopulation Benefits and Harms (Principal Investigator: Michael Rosenblum. Duration: 2014 to 2017.)
Papers on Improved Design and Analysis for Randomized Trials
- Rosenblum, M., Fang, X., and Liu, H., (2014) Optimal, Two Stage, Adaptive Enrichment Designs for Randomized Trials Using Sparse Linear Programming. [Click here for Working Paper] [Click here for slides from recent talk]
- 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]
Causal Inference Working Group, Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health
mrosen “–at–” jhu–dot–(dashes and this phrase inserted to avoid spam) edu