Ken Kleinman

Associate Professor
423 Arnold House

Kleinman Lab


B.A., Oberlin College, 1988; M.Sc., Harvard School of Public Health, 1994; Sc.D., Harvard School of Public Health, 1996; Postdoctoral Fellow, University of Michigan, 1996-1997

Area(s) of Specialization: 

Cluster-Randomized Trials, Missing Data, Statistical Software, Electronic Medical Records

Research Description: 

I am a generalist biostatistician with experience in the analysis of clustered and longitudinal data, observational epidemiology, cluster-randomized trials, public health surveillance, and electronic medical records.  For 15 years I have been involved with community- and otherwise cluster-randomized studies, including interventions to improve physician’s adherence to guidelines, to reduce the spread of antibiotic-resistant organisms, to help obese children reduce weight gain, and others.  In this area I have done methodological work on the planning of studies, including power calculation and stratification/matching.  I have also worked with electronic medical records to perform surveillance of outpatient encounters to assess the possibility of bioterrorism attack or pandemic influenza, developing methods and editing a volume in this area.  I have also been involved with work around case-mix adjustment and quality ranking of hospitals for surgical site infections.  For more than ten years I have been the primary biostatistician for Project Viva, an observational cohort of mothers and children that explores developmental origins of health and disease.  I also have published three reference texts, and write a blog on statistical software.

Key Publications: 

Kleinman KP, Ibrahim JG. A semiparametric Bayesian approach to the random effects model. Biometrics. 1998;54(3):921-38

Kleinman K, Lazarus R, Platt R. A generalized linear mixed models approach for detecting incident clusters of disease in small areas, with an application to biological terrorism.  [With editorial] Am J Epidemiol. 2004;159(3):217-24

Kleinman KP, Abrams AM.  Assessing the utility of public health surveillance using specificity, sensitivity, and lives saved. Statistics in Medicine 2008; 27:4057-4068

Kleinman K, Abrams A, Yih WK, Platt R, Kulldorff M. Evaluating spatial surveillance: detection of known outbreaks in real data. Statistics in Medicine 2006; 25:755-769

Huang SS, Septimus E, Kleinman K, Moody J, Hickok J, Avery TR, Lankiewicz J, Gombosev A, Terpstra L, Hartford F, Hayden MK, Jernigan JA, Weinstein RA, Fraser VJ, Haffenreffer K, Cui E, Kaganov RE, Lolans K, Perlin JB, Platt R. Targeted versus universal decolonization to prevent ICU infection. New England Journal of Medicine 2013; 368:2255-2265 doi:10.1056/NEJMoa1207290