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.

Recent Publications

  • 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:

Example Rejection Regions Based on New Sparse LP Method

  • 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]

Recent Funding

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

  • 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]

A JHUBiostat Tweet

Causal Inference Working Group, Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health


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