Professional Summary
Min Zhang is an Assistant Professor in the Department of Biostatistics. Min received her Ph.D. in statistics in May 2008 from North Carolina State University and joined the University of Michigan in the same year. She received travel awards from the Biometrics Section of American Statistical Association (ASA) and the International Biometric Society (ENAR) for work from her Ph.D. dissertation. While obtaining her Ph.D., she also did a summer intern at Eli Lilly and worked part-time as a statistician at Duke Clinical Research Institute, Duke University.
Courses Taught
BIOSTAT602: Biostatistical Inference
Syllabus (PDF)
Education
Ph.D, Statistics, North Carolina State University, 2008 M.A., Ecology, Duke University, 2004 B.S., Environmental Sciences, Peking University, 2001
Research Interest & 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.
Selected Publications
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.
Tsiatis, A.A., Davidian, M, Zhang, M. and Lu, X. (2007). Covariate adjustment for two-sample treatment comparisons in randomized clinical trials: A principled yet flexible approach. Statistics in Medicine, special issue on "Statistical Methods in HIV/AIDS and its practical application", 27, 4658-4677.
Mehta, R.H., Rao, S.V., Ohman, E.M., Bates, E.R., Marcucci, G., Zhang, M., Pieper, K.S., Armstrong, P.W., White, H.D., Van de Werf, F., Califf, R.M., Granger, C.B. (2008). Variation in the use of stress testing and outcomes in patients with non-ST-elevation acute coronoray syndromes: insights from GUSTO IIb. European Heart Journal , 29(7), 880-887.
Professional Affiliations
American Statistical Association International Biometric Society, ENAR
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