Michael Kosorok, PhD
Dr. Kosorok’s research interests include biostatistics, empirical processes, statistical learning, data mining, and semiparametric inference. He is interested in personalized medicine, cancer, and cystic fibrosis and was involved in research that contributed to the widespread adoption of routine cystic fibrosis screening for newborns. He has held positions on several data safety monitoring boards and served as associate editor for a number of professional journals.
- Professor and Chair, Department of Biostatistics, University of North Carolina at Chapel Hill
- Professor, Department of Statistics and Operations Research, University of North Carolina at Chapel Hill
- PhD, 1991, University of Washington, Biostatistics
- Farrell P., Kosorok M. R., Laxoya A., Shen G., Koscik R. E., et al. (1997). Nutritional benefits of newborn screening for cystic fibrosis. New England Journal of Medicine, (337), 963-969.
- Cook T. D., Kosorok M. R. (2004). Analysis of time-to-event data with incomplete event adjudication. Journal of the American Statistical Association, (99), 1140-1152.
- Kosorok M. R., Ma S. (2007). Marginal asymptotics for the "large p, small n" paradigm: With applications to microarray data. Annals of Statistics, 35, 1456-1486.
- Zhao Y., Zeng D., Herring A. H., Ising A., Waller A., Richardson D., Kosorok M. R. (2011). Detecting disease outbreaks using local spatiotemporal methods. Biometrics, (67), 1508-1517.
- Zhao Y., Zeng D., Rush A. J., Kosorok M. R. (2012). Estimating individualized treatment rules using outcome weighted learning. Journal of the American Statistical Association, (107), 1106-1118.
- Biostatistics Core Offers a Variety of Expertise to Collaborators
- Consulting on Time-to-Event Data
- Finding a Biostatistician to Meet Your Needs
- From Music and Math to Biostatistics
- Integrating Biostatistics into Translational Research
- The Biostatistician as Collaborator
- Using Data to Determine Treatment Sequence