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

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Sharma, Sharan, and Michael R. Elliott. Forthcoming. "Detecting falsification in a television audience measurement panel survey." International Journal of Market Research.

Wang, Dongqing, Carrie Anne Karvonen-Gutierrez, Michael R. Elliott, Ana Baylin, Elizabeth A. Jackson, Bradley M. Appelhans, Emma Barinas-Mitchell, Lawrence F. Bielak, an, et al. Forthcoming. "Western Dietary Pattern Derived by Multiple Statistical Methods Is Prospectively Associated with Subclinical Carotid Atherosclerosis in Midlife Women." The Journal of Nutrition.

Harlow, Sioban D., Michael R. Elliott, Irina Bondarenko, Rebecca C. Thurston, and Elizabeth A. Jackson. 2020. "Monthly variation of hot flashes, night sweats, and trouble sleeping: effect of season and proximity to the Final Menstrual Period (FMP) in the SWAN Menstrual Calendar substudy." Menopause, 27(1): 5-13.

Rafei, Ali, Carol A. C. Flannagan, and Michael R. Elliott. 2020. "Big Data for Finite Population Inference: Applying Quasi-Random Approaches to Naturalistic Driving Data Using Bayesian Additive Regression Trees." Journal of Survey Statistics and Methodology, 8(1): 148-180.

More publications for Michael R. Elliott...

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ACL-LIFE Life History Interview and Validation (NIA)

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)

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)

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

Understanding Social Disparities in Health and Aging (NIA)

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