Min Qian, PhD

  • Associate Professor of Biostatistics
Profile Headshot

Overview

Dr. Min Qian's primary research interest is in the area of medical decision making, where the goal is to develop individualized treatment policies that specify which type and/or intensity of treatment should be offered over time. These treatment policies take patient information, such as demographics, preference, intermediate response, adherence as input and output treatment decisions at each decision point. Her current research work includes design of clinical trials and development of novel statistical methodologies that can be used to construct optimal treatment policies. Dr. Qian also has broad interests in applied statistics. She has been collaborating with scientists in different areas, including mental health, cardiology, bioinformatics and epidemiology.

Academic Appointments

  • Associate Professor of Biostatistics

Credentials & Experience

Education & Training

  • BS, 2002 Wuhan University
  • MS, 2004 University of Toronto
  • PhD, 2010 University of Michigan

Committees, Societies, Councils

Member, American Statistical Association

Member, International Biometrics Society, ENAR

Member, International Chinese Statistical Association

Research

Research Interests

  • Biostatistical Methods

Selected Publications

I. Nahum-Shani, M. Qian, D. Almiral, W.. Pelham, B. Gnagy, G. Fabiano, J. Waxmonsky, J. Yu and S.A. Murphy Experimental design and primary data analysis methods for comparing adaptive interventions. Psychological Methods 17(4) 457-477 2012

I. Nahum-Shani, M. Qian, D. Almiral, W.. Pelham, B. Gnagy, G. Fabiano, J. Waxmonsky, J. Yu and S.A. Murphy Q-Learning: a data analysis method for constructing adaptive interventions. Psychological Methods 17(4) 478-494 2012

X. Tu and W. Tang Modern Clinical Trial Analysis. Springer New York 127-148 2012

M. Qian and S.A. Murphy Performance guarantees for individualized treatment rules. Annals of Statistics 39(2) 1180-1210. 2011

F. Ferraty Recent Advances in Functional Data Analysis and Related Topics. Springer New York 213-218 2011