Steven G. Heeringa

Photograph of Dr. Steve Heeringa
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Senior Research Scientist, ISR; Associate Director the Survey Research Center (SRC), ISR and JPSM, University of Maryland

Steven G. Heeringa is a 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's Program in Survey and Data Science 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.

Research Interests

Probability sample design for household and non-household population studies,  Longitudinal study design,  Research design for studies of aging and mental health, Sample design and analysis in population-based studies involving genetics, epigenetics and neuroscience,  Sample design and analysis methods for cross-national comparative studies, GIS applications and spatial context in research design and analysis,  Integrating survey data with administrative records and other external data resources, Analysis of complex sample survey data.

Selected Publications

Heeringa, S.G. (2018).   Discussion of “Probability Sampling by Connecting Space with Households Using GIS/GPS Technologies” BY Chen, X.; Xu, X.; Gong, J.; Yan, Y.; Fang, L. Journal of Survey Statistics and Methodology, 6(2), 169-181.

Garavan, H., Barsch, H., Decastro, A., Goldstein, R.Z., Heeringa, S., Jernigan, T., Potter, A., Thompson, W., Zahs, D. (2018).  Recruiting the ABCD Sample: Design Considerations and Procedures.  Developmental Cognitive Neuroscience. Published online ahead of print: DOI: 10.1016/j.dcn.2018.04.004.

Heeringa, S.G., West, B.T., Berglund, P.A. (2017). Applied Survey Data Analysis, Second Edition.  Chapman and Hall. London.

Ursano,R.J., Kessler,R.C., Stein,M.B., Naifeh,J.A., Aliaga, P.A., Fullerton,C.S., Sampson, N.A., Kao, T-C., Colpe, L.J., Schoenbaum, M., Cox, K.L.,Heeringa, S.G. (2015).  Suicide Attempts in the US Army During the Wars in Afghanistan and Iraq, 2004 to 2009. JAMA Psychiatry, 72(9):917-926.

Heeringa, S.G., Berglund, P.A., West. B.T., Mellipilan, E.R., Portier, K. (2015).  Attributable fraction estimation from complex sample survey data.  Annals of Epidemiology, 25(3):174-178.

Current Research Projects

Health and Retirement Survey -  Yrs 29-34

 Monitoring the Future:  Drug Use and Lifestyles of American Youth

Family Dynamics, Fertility, and Investments in Children Across Generations

Adolescent Brain Cognitive Development Study (ABCD) Coordinating Center

Health, Wealth, and Time Use Over The Life Course and Across Generations

Characterizing Disparities in late-onset Alzheimer’s Disease Risk through Polygenic Risk and Epidemiologic Factors in the Health and Retirement Survey

Cognitive Impairment in Mexican Americans: A population-Based Study