Dr. Kalbfleisch is a professor of biostatistics and statistics at the University of Michigan. He served as chair of the Department of Biostatistics from 2002 to 2007 and as Director of the Kidney Epidemiology and Cost Center from 2008 to 2011. He received his Ph.D. in statistics in 1969 from the University of Waterloo. He was an assistant professor of statistics at the State University of New York at Buffalo (1970-73) and on faculty at the University of Waterloo (1973-2002). At Waterloo, he served as chair of the Department of Statistics and Actuarial Science (1984-1990) and as dean of the faculty of Mathematics (1990-1998). He has held visiting appointments as Professor at the University of Washington, the University of California at San Francisco, the University of Auckland, Fred Hutchinson Cancer Research Center and the National University of Singapore. He has interests in and has publised in various areas of statistics and biostatistics including life history and survival analysis, likelihood methods of inference, bootstrapping and estimating equations, mixture and mixed effects models and medical applications, particularly in the area of renal disease and organ transplantation. Dr. Kalbfleisch is a Fellow of the American Statistical Association and the Institute of Mathematical Statistics. He is also an elected member of the International Statistical Institute, a Fellow of the Royal Society of Canada and a Gold Medalist of the Statistical Society of Canada. He also received the Distinguished Research Award from the UM School of Public Health in 2011.
Ph.D., Statistics, University of Waterloo, 1969
M. Math., Statistics, University of Waterloo, 1967
B.Sc., Math and Physics, University of Waterloo, 1966
Research Interests & Projects
A primary research interest is in the development of models and methods for analyzing failure time or event history data. Applications of this work arise in many areas including epidemiology, medicine, demography and engineering. In event history data, interest centers on the timing and occurrence of various kinds of events such as, for example, repeated infections or recurrences of disease, or other sequences of events that may occur during a study period. I have been particularly interested in situations in which only partial data or data subject to sampling bias are available.
Mixture models provide a natural way to describe heterogeneity in a population and I am interested in various aspects of modeling and analyzing mixtures. This research has included work on algorithms for fitting nonparametric mixtures and on methods for testing the order of a finite mixture, a problem arising in various applications in genetics.
In recent years, I have been working on statistical aspects of problems associated with End Stage Renal Diease and solid organ transplantaion. The Kidney Epidemiology and Cost Center has many projects associated with these including a sub contract on the Scientific Registry of Transplant Recipients and various projects funded through the Centers for Medicare and Medicaid Services. This is a provides a rich area of application where statistical methods and developments play a substantial role in defining public policy.
Search PubMed for publications by Jack Kalbfleisch >>
Sun, R., Kalbfleisch, J.D. (2013). A Risk-Adjusted O-E Cusum with a V_Mask for Monitoring Medical Outcomes. Biometrics, 69, 62-69.
Park,Y., Kalbfleisch,J.D., Taylor,J.M.G. (2013). Confidence intervals under order restriction Statistica Sinica, to appear
Kalbfleisch, J.D., Schaubel, D.E., Ye, Y., Gong, Q. (2013). An estimating function approach to the analysis of recurrent and terminal events Biometrics, 69, 366-374.
Xu, Z., Kalbfleisch, J.D. (2013). Repeated randomization and matching in multi-arm trials Biometrics, 69
Li, Y., Song, P.X., Zhou, Y., Leichtman, A., Rees, M.A., Kalbfleisch, J.D. (2013). Optimal decisions for organ exchanges in a kidney paired donation program Statistics in the Biosciences, submitted
Kalbfleisch, J.D. and Wolfe, R.A. (2013). On monitoring outcomes of medical providers Statistics in the Biosciences, In Press
Park,Y.,Kalbfleisch,J.D.,Taylor,J.M.G. (2011). Constrained Nonparametric Maximum Likelihood Estimation of Stochastically Ordered Survivor Functions Canadian Journal of Statistics, In Press
Liu,D.,Schaubel,D.E., Kalbfleisch,J.D. (2011). Computationally efficient marginal models for clustered recurrent event data Biometrics, In Press
Xu,J., Kalbfleisch,J.D., Tai,B., (2010). Statistical analysis of illness death data and semi competing risks models Biometrics, 66, 716-725.
Kalbfleisch, J. D. and Prentice, R. L. (2002). The Statistical Analysis of Failure Time Data New York: Wiley, 2nd Edition.
Fellow, American Statistical Association
Member, Statistical Society of Canada
Fellow, Royal Society of Canada
Fellow, Institute of Mathematical Statistics
Member, International Statistical Institute
Member, International Biometrics Society