Min Zhang, Ph.D.
Assistant Professor, Biostatistics Department
Phone: 734-763-9385; Fax: 734-763-2215
Website(s): Personal Website
Curriculum Vitae (PDF)
- Professional Summary
- Courses Taught
- Research Interest & Projects
- Selected Publications
- Professional Affiliations
Min Zhang, Ph.D, joined the Department of Biostatistics at the University of Michigan (UM) as an Assistant Professor in 2008. Her methodological research has been focused on semiparametric methods, causal inference (comparative effectiveness analysis), survival data analysis, longitudinal data analysis, dynamic treatment regimes (personalized medicine), missing data and clinical trials. In general, she is interested in using semiparametric methods to improve efficiency and robustness of estimators for treatment effect based on clinical trials or observational studies for various types of outcomes including survival data. One particular example is to develop methods to handle challenges that often occur in clinical trials in real life such that traditional methods no longer apply, for example, when patients in a trial might optionally discontinue the study treatment, start a secondary treatment or violate the study protocol in other ways. Currently, her applied collaborative research is mainly on the area of cardiovascular disease and she has been collaborating with several researchers at the UM Cardiovascular Center (CVC) and in the Department of Cardiac Surgery. In addition, she continues to collaborate with investigators at Duke Clinical Research Institute (DCRI) on research on cardiovascular disease since 2007. Her research in cardiovascular disease focuses on understanding variation in health care practices and quality improvement as well as evaluating treatment effect. Another main area of her applied research is in renal disease and solid-organ transplantation. Since 2009, she collaborates heavily with investigators at the UM Kidney Epidemiology and Cost Center (KECC) and has been working on, for example Scientific Registry of Transplant Recipients (SRTR) project and several projects involving patients with End Stage Renal Disease (ESRD).
Ph.D, Statistics, North Carolina State University, 2008
M.A., Ecology, Duke University, 2004
B.S., Environmental Science (minor: Computer Science), Peking University, 2001
Research Interests & Projects
My research interests include semiparametric methods with missing and censored data, clinical trials, causal inference, survival analysis, and longitudinal data analysis. I have also been collaborating with clinicians and medical doctors in cardiovascular diseases at Duke Clinical Research Institute.
Zhang, M. (2014). Robust methods to improve efficiency and reduce bias due to chance imbalance in estimating survival curves in randomized clinical trials Lifetime Data Analysis, In press
Zhang, M. and Wang, Y. (2013). Adjusting for observational secondary treatments in estimating the effects of randomized treatments. Biostatistics, 14(3), 491-501.
Zhang, M. and Schaubel, D. E. (2012). Contrasting treatment-specific survival using double-robust estimators. Statistics in Medicine, 31(30), 4255-4268.
Zhang, M. and Wang, Y (2012). Estimating treatment effects from a randomized trial in the presence of a secondary treatment. Biostatistics, 13(4), 625-636.
Zhang, M. and Schaubel, D. E. (2012). Double-robust semiparametric estimator for differences in restricted mean lifetimes in observational studies. Biometrics, 68, 999-1009.
Zhang, M. and Schaubel, D. E. (2011). Estimating differences in restricted mean lifetime using observational data subject to dependent censoring. Biometrics, 67, 740-749.
Zhang, M., Tsiatis, A. A., Davidian, M., Pieper, K. S., and Mahaffey, K. (2011). Inference on treatment effects from a randomized clinical trial in the presence of premature treatment discontinuation: The SYNERGY trial. Biostatistics, 12, 258-269.
Zhang, M. and Gilbert, B. P. (2010). Increasing the efficiency of prevention trials by incorporating baseline covariates. Statistical Applications in Infectious Diseases, 2(1)
Zhang, M., Tsiatis, A.A., and Davidian, M. (2008). Improving efficiency of inferences in randomized clinical trials using auxiliary covariates. Biometrics, 64, 707-715.
Zhang, M. and Davidian, M. (2008). "Smooth" semiparametric regression analysis for arbitrarily censored time-to-event data. Biometrics, 64, 567-576.
American Statistical Association
International Biometric Society, ENAR
International Society of Clinical Biostatistics (ISCB)