Steven G. Heeringa is a Senior Research Scientist at the University of Michigan Institute for Social Research (ISR). 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 37 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.

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Books

Heeringa, Steven, Brady T. West, and Patricia A. Berglund. 2010. Applied survey data analysis. Boca Raton : Taylor & Francis. Abstract.

Journal Articles

Polimanti, R., R. Ursano, Steven Heeringa, S. Jain, R. Kessler, M. Nock, J. Smoller, X. Sun, and J. Gelernter, et al. Forthcoming. "Cross-phenotype polygenic risk score analysis of persistent post-concussive symptoms in US Army soldiers with deployment-acquired traumatic brain injury." Journal of Neurotrauma. DOI. Abstract.

Street, A., A. Rosellini, R. Ursano, Steven Heeringa, E. Hill, J. Monahan, J. Naifeh, M. Petukhova, B. Reis, N. Sampson, P. Bliese, M. Stein, A. Zaslavsky, and R. Kessler. Forthcoming. "Developing a Risk Model to Target High-Risk Preventive Interventions for Sexual Assault Victimization Among Female U.S. Army Soldiers." Clinical Psychological Science. DOI. Abstract.

Cox, K., M. Nock, Q. Biggs, J. Bornemann, L. Colpe, C. Dempsey, Steven Heeringa, J. McCarroll, T. Ng, Michael Schoenbaum, R. Ursano, B. Zhang, D. Benedek, and Army Starrs Collaborators. Forthcoming. "An Examination of Potential Misclassification of Army Suicides: Results from the Army Study to Assess Risk and Resilience in Servicemembers." Suicide and Life-Threatening Behavior. DOI. Abstract.

Stein, M., R. Ursano, L. Campbell-Sills, L. Colpe, C. Fullerton, Steven Heeringa, M. Nock, N. Sampson, Michael Schoenbaum, and X. Sun. Forthcoming. "Prognostic indicators of persistent post-concussive symptoms after deployment-related mild traumatic brain injury: a prospective longitudinal study in US Army soldiers." Journal of Neurotrauma. DOI. Abstract.

Wagner, James, H. Schroeder, A. Piskorowski, R. Ursano, M. Stein, Steven Heeringa, and L. Colpe. Forthcoming. "Timing the Mode Switch in a Sequential Mixed-Mode Survey: An Experimental Evaluation of the Impact on Final Response Rates, Key Estimates, and Costs." Social Science Computer Review. DOI. Abstract.

Naifeh, J., L. Colpe, P. Aliaga, N. Sampson, Steven Heeringa, M. Stein, R. Ursano, C. Fullerton, M. Nock, Michael Schoenbaum, A. Zaslavsky, R. Kessler, and On behalf of the Army STARRS Collaborators. 2016. "Barriers to Initiating and Continuing Mental Health Treatment Among Soldiers in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)." Military Medicine, 181(9): 1021-1032. DOI. Abstract.

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