Faculty & Research

Faculty Profiles

Faculty Research Projects

Research Centers & Initiatives

Resources for Faculty

Faculty & Staff Directory

HIPAA

Jack Kalbfleisch

Jack D. Kalbfleisch, Ph.D.

Professor, Biostatistics

Professor of Statistics

Director, Kidney Epidemiology and Cost Center

M4148 SPH II
1420 Washington Heights
Ann Arbor, Michigan 48109-2029

315 West Huron St
Kidney Epidemiology and Cost Center
Ann Arbor, Michigan 48103-4262

Office: (734) 615-7067; Fax: (734) 615-7068; KECC Office: (734) 998-7521

E-mail: jdkalbfl@umich.edu

Curriculum Vitae (PDF, 84,312 KB)

Professional Summary

Dr. Kalbfleisch is Professor of Biostatistics and Statistics. He also serves as Director of the Kidney Epidemiology and Cost Center at the University of Michigan. He served as Chair of the Department of Biostatistics from 2002 to 2007. He received his Ph.D. in statistics in 1969 from the University of Waterloo. He was 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. 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.

Courses Taught

BIOSTAT553: Applied Biostatistics    Syllabus (PDF)
BIOSTAT675: Survival Time Analysis    Syllabus (PDF)
EPID784: Survival Analysis Applied to Epidemiologic and Medical Data

Education

Ph.D., Statistics, University of Waterloo, 1969
M. Math., Statistics, University of Waterloo, 1967
B.Sc., Math and Physics, University of Waterloo, 1966

Research Interest & Projects

A primary research interests 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 sequences of events that occur through the 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.

Selected Publications

Biswas, P, Kalbfleisch, J.D." (2008). A risk adjusted CUSUM in continuous time based on the Cox Statistics in Medicine, 27, 3382-3406.

Nan,B., Kalbfleisch, J.D., Yu, M. (2008). Asymptotic Theory for the Semiparametric Accelerated Failure Time Model with Missing Data Annals of Statistics, in press

Jiang, W., Kalbfleisch, J.D." (February, 2008). Permutation Methods in Relative Risk Regression Models Journal of Statistical Planning and Inference, 2, 416-431.

Kalbfleisch, J.D., Jiang, W." (September, 2007). Comment on "Implementation of estimating function-based inference procedures with Markov chain Monte Carlo samplers" Journal of the American Statistical Association, 479, 890-893.

Ye, Y., Kalbfleisch, J.D., Schaubel, D.E." (March, 2007). Semiparametric analysis of correlated recurrent and terminal events Biometrics, 78-87.

Song, P. X-K., Fan, Y., Kalbfleisch, J. D."" (2005). Maximization by Parts in Likelihood Inference. Journal American Statistical Association, 100, 1163-1167.

Chen, J. and Kalbfleisch, J.D (2004). Modified Likelihood Ratio Test in Finite Mixture Models with a Structural Parameter. Journal of Statistical Planning and Inference, 129, 93-107.

Jewell, N. P. and Kalbfleisch, J. D. (2004). Maximum Likelihood Estimation of Ordered Multinomial Parameters. Biostatistics, 5, 291-306.

Kalbfleisch, J. D. and Prentice, R. L. (2002). The Statistical Analysis of Failure Time Data New York: Wiley, 2nd Edition.

Professional Affiliations

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