Michael R. Elliott

Professor, Biostatistics, School of Public Health.
Research Professor, Survey Research Center, Institute for Social Research.

Ph.D., Biostatistics, University of Michigan

Research Interests: Dr. Elliott s research interests include the design and analysis of sample surveys, U.S. Census undercount, and missing and latent variable data structures with applications to causal estimation and modeling. Recently he has explored potential outcome models to estimate causal effects in a variety of diverse settings, including longitudinal clinical trials and toxicology studies.

Personal Web Site

mrelliot@umich.edu

734-763-1456

News & Announcements

Burgard et al. find sudden loss of wealth at midlife linked to increased risk of mortality

Elliott co-PI on new study examining how early environment impacts children's health

Select Publications

Cronin, Robert M., Michael R. Elliott, Mick P. Couper, Rebecca N. Jerome, Brandy Mapes, Regina Andrade, Rebecca Johnston, Jennifer Ayala, et al. 2019. "Development of the Initial Surveys for the All of Us Research Program." Epidemiology, 30(4): 597.

Wang, Dongqing, Carrie Anne Karvonen-Gutierrez, Elizabeth A. Jackson, Michael R. Elliott, Bradley M. Appelhans, Emma Barinas-Mitchell, Lawrence F. Bielak, and Ana Baylin. 2019. "Prospective associations between beverage intake during the midlife and subclinical carotid atherosclerosis: The Study of Women's Health Across the Nation." PLOS ONE, 14(7): e0219301.

Zhou, Tingting, Michael R. Elliott, and Roderick J. Little. 2019. "Penalized Spline of Propensity Methods for Treatment Comparison: Rejoinder." Journal of the American Statistical Association, 114(525): 35-38.

West, Brady T., Michael R. Elliott, Zeina N. Mneimneh, James Wagner, Andy Peytchev, and Mark Trappmann. Forthcoming. "An Examination of an Interviewer-Respondent Matching Protocol in a Longitudinal CATI Study." Journal of Survey Statistics and Methodology.

More publications for Michael R. Elliott...

Select Projects

Improving Reproducibility of Respondent Driven Sampling through Adaptive Design (NIA)

Racial inequalities in health throughout adulthood: The cumulative impact of neighborhood chemical and non-chemical stressors on epigenomic pathways (NIMHD)

Advancing the Science of Responsive Design Using Bayesian Methodology (NIA)

Dynamics of obesity among children and youth (NIDDK)

Cognitive Resilience and Community Context: Examining the role of Neighborhood Built and Social Environments for Slowing the Progression of Dementia among older Americans (NIA)

Novel Methods for Incorporating Sample Design in Bayesian Inference (NSF)

Computing Statistics When Data Cannot Be Shared (Laura and John Arnold Foundation)

Built environments on stroke risk and stroke disparities in a national sample (NINDS)

Empirical Assessment of Respondent Driven Sampling from Total Survey Error Perspectives (NSF)

The Social and Economic Dynamics of Optimism and Hopelessness over American Adulthood: Evidence from the Americans Changing Lives Study (1986-2011) (Templeton, John)

Computing Statistics from Private Data (Sloan)

Addressing Disclosure Risk of Contextualized Microdata in Survey Design (OBSSR)

Understanding Social Disparities in Health and Aging (NIA)

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