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Michael R. Elliott

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

Ph.D., Biostatistics, University of Michigan

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

Fischer, Micha, Brady T. West, Michael R. Elliott, and Frauke Kreuter. Forthcoming. "The Impact of Interviewer Effects on Regression Coefficients." Journal of Survey Statistics and Methodology.

Pool, Lindsay R., Sarah Burgard, Belinda L. Needham, Michael R. Elliott, Kenneth M. Langa, and Carlos Mendes de Leon. 2018. "Association of a negative wealth shock with all-cause mortality in middle-aged and older adults in the united states." JAMA, 319(13): 1341-1350.

Palumbo, Aimee J., Melissa R. Pfeiffer, Michael R. Elliott, and Allison E. Curry. Forthcoming. "Young Driver Compliance With Graduated Driver Licensing Restrictions Before and After Implementation of a Decal Provision." Journal of Adolescent Health.

Mneimneh, Zeina N., Michael R. Elliott, Roger Tourangeau, and Steven Heeringa. Forthcoming. "Cultural and Interviewer Effects on Interview Privacy: Individualism and National Wealth." Cross-Cultural Research.

More publications for Michael R. Elliott...

Select Projects

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

Dynamics of obesity among children and youth (NIDDK)

The Impact of Tobacco Control Policies on Health Equity in the United States (NCI)

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)