Graham Kalton

Senior Statistical Advisor

Graham Kalton, Ph.D., is a Senior Statistical Advisor and was Chairman of the Board of Directors of Westat from 2006 to October 2018. He is an internationally known survey statistician and methodologist who has conducted research on many aspects of survey methodology and has been a consultant on a number of Federal statistical programs. His research interests include sampling rare and hard-to-reach populations, panel surveys, nonresponse adjustments and imputation, and small area estimation.

Dr. Kalton’s preeminence in the fields of survey statistics and survey methodology is well recognized: he is a Fellow of the American Statistical Association, a Fellow of the American Association for the Advancement of Science, an elected Member of the International Statistical Institute, and a National Associate of the National Academy of Sciences (NAS). He is also a recipient of the Jerzy Neyman medal from the Polish Statistical Association. Dr. Kalton is a recipient of the Morris Hansen Lecture Award and the Waksberg Award. In recognition of his contributions to the field, Dr. Kalton has been named a Westat Senior Statistical Fellow and is a member of the Statistical Fellows Committee, which provides consultation on important survey statistics issues and addresses recent advances in applied statistics.

Dr. Kalton has served as a member and as Chair of Statistics Canada’s Advisory Committee on Statistical Methods, and has served on the Committee for National Statistics (CNSTAT) of the NAS and several CNSTAT panels, the Board of Scientific Counselors for the National Center for Health Statistics, and the Federal Economic Statistics Advisory Committee. He also holds the title of research professor in the Joint Program in Survey Methodology at the University of Maryland.

Education

Ph.D., Survey Statistics, University of Southampton, United Kingdom

M.Sc., Economics (with a specialty in Mathematical Statistics) , London School of Economics and Political Science

B.Sc., Economics (with a specialty in Statistics), London School of Economics and Political Science

Areas of Expertise

Statistical Sciences

Selected Publications

Hyland A., Ambrose B.K., Conway K.P., Borek N., Lambert E., Carusi C., Taylor K., Crosse S.B., Fong G.T., Cummings K.M., Abrams D., Pierce J.P., Sargent J., Messer K., Bansal-Travers M., Niaura R., Vallone D., Hammond D., Hilmi N., Kwan J., Piesse A., Kalton G., Lohr S., Pharris-Ciurej N., Castleman V., Green V.R., Tessman G., Kaufman A., Lawrence C., van Bemmel D.M., Kimmel H.L., Blount B., Yang L., O'Brien B., Tworek C., Alberding D., Hull L.C., Cheng Y.C., Maklan D., Backinger C.L., and Compton W.M. (2017).

Design and methods of the Population Assessment of Tobacco and Health (PATH) Study.

Tobacco Control, 26(4), 371-378.

DOI | PubMed

Chen S. and Kalton G. (2015).

Geographic oversampling for race/ethnicity using data from the 2010 U.S. population census.

Journal of Survey Statistics and Methodology, 3(4), 543-565.

DOI

Kalton G., Kali J., and Sigman R. (2014).

Handling frame problems when address-based sampling is used for in-person household surveys.

Journal of Survey Statistics and Methodology, 2(3), 283-304.

DOI

Liu B., Lahiri P., and Kalton G. (2014).

Hierarchical Bayes modeling of survey-weighted small area proportions.

Survey Methodology, 40(1), 42382.

Source (PDF)

Kalton G. (2014).

Past, present, and future of Federal surveys: Discussion.

Proceedings of the Social Statistics Section, American Statistical Association (pp. 9-12). Alexandria, VA: American Statistical Association.

Kalton G. (2014).

Probability sampling methods for hard-to-sample populations.

In R. Tourangeau, B. Edwards, T.P. Johnson, K.M. Wolter, and N. Bates (Eds.), Hard-to-survey populations (pp. pp. 401-423). Cambridge, U.K.: Cambridge University Press.

Source