Senior Research Scientist, ISR; Associate Director the Survey Research Center (SRC), ISR and JPSM, University of Maryland
Steven G. Heeringa is a Senior Research Scientist at the University of Michigan Institute for Social Research (ISR) and Associate Director of the ISR Survey Research Center (SRC). He is a member of the Faculty of the University of Michigan Program in Survey Methods and the Joint Program in Survey Methodology. He is a Fellow of the American Statistical Association and elected member of the International Statistical Institute. He is the author of many publications on statistical design and sampling methods for research in the fields of public health and the social sciences. He is the lead author of Applied Survey Data Analysis (Chapman & Hall, 2010), a comprehensive new text on methods for the statistical analysis of complex sample survey data. Steve has over 38 years of statistical sampling experience in the development of the SRC National Sample design, as well as research designs for ISR's major longitudinal and cross-sectional survey programs. Since 1985 Steve has collaborated extensively with scientific colleagues in the design and conduct of major studies in aging, psychiatric epidemiology and physical and mental health. He has been a teacher of survey sampling and statistical methods to U.S. and international students and has served as a sample design consultant to a wide variety of international research programs based in countries such as Russia, the Ukraine, Uzbekistan, Kazakhstan, India, Nepal, China, Egypt, Iran, the United Arab Emirates, Qatar, South Africa and Chile.
Heeringa, S.G., West, B.T., Berglund, P.A. (2017). Applied Survey Data Analysis, 2nd Edition. Chapman and Hall, London.
Heeringa, S. and O’Muircheartaigh, C. (2010). Sampling Designs for Cross-Cultural and Cross-National Survey Programs, pp. 251-268. In Harkness, et al. (Eds.), Survey Methods in Multinational, Multiregional and Multicultural Contexts. John Wiley and Sons, NY
Kalton, G., and Heeringa, S.G. (2003). Leslie Kish: Selected Papers, John Wiley and Sons, New York.
Kessler, R.C., Heeringa, S., Lakoma, M.D., Petukhova, M., Rupp, A.E., Schoenbaum, M., Wang, P.S., Zaslavsky, A.M. The individual-level and societal-level effects of mental disorders on earnings in the United States: Results from the National Comorbidity Survey Replication. American Journal of Psychiatry, 165(6), pp. 703-711
Groves, R.M. and Heeringa, S.G. (2006). “Responsive Design for Households Surveys: Tools for Actively Controlling Survey Errors and Costs”. Journal of the Royal Statistical Society, Series A, 169, Part 3, 439-457.
Heeringa, S., Wagner, J., Torres, M., Duan, N., Adams, T. and Berglund, P. (2004). “Sample Designs and Sampling Methods for the Collaborative Psychiatric Epidemiology Studies (CPES).” International Journal of Methods in Psychiatric Research, 13(4), 221- 239.
Heeringa, S.G., Little, R.J.A., and Raghunathan, T.E. (2002), Multivariate imputation of coarsened survey data on household wealth, in Survey Nonresponse. Robert M. Groves, Don A. Dillman, John L. Eltinge, and Roderick, Little (Eds.). New York: John Wiley and Sons, Inc.