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

Select Publications

Fleischer, Nancy L., J. Travis Donahoe, M. Chandler McLeod, James F. Thrasher, David T. Levy, Michael R. Elliott, Rafael Meza, and Megan E. Patrick. Forthcoming. "Taxation reduces smoking but may not reduce smoking disparities in youth." Tobacco Control.

Ng, Carmen D., Michael R. Elliott, Fernando Riosmena, and Solveig A. Cunningham. 2020. "Beyond recent BMI: BMI exposure metrics and their relationship to health." SSM - Population Health, 11: 100547.

Elliott, Michael R., Zhangchen Zhao, Bhramar Mukherjee, Alka Kanaya, and Belinda L. Needham. 2020. "Methods to Account for Uncertainty in Latent Class Assignments When Using Latent Classes as Predictors in Regression Models, with Application to Acculturation Strategy Measures." Epidemiology, 31(2): 194-204.

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

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)

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

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