Elizabeth Rose Mayeda

Elizabeth Rose Mayeda (she/her) is an Associate Professor in the Department of Epidemiology at the UCLA Fielding School of Public Health. Dr. Mayeda's research focuses on identifying modifiable determinants of cognitive decline and dementia in late life. Her research program has both applied and methodological themes. Her research focuses on describing and identifying mechanisms contributing to disparities in late-life cognitive and brain health. She also leads work addressing methodological challenges in longitudinal studies of cognitive aging and dementia risk. Her long-term research goals are to: (1) identify effective population-level strategies to prevent dementia and promote equity in cognitive and brain aging and (2) develop research tools to strengthen causal inference in dementia research and lifecourse epidemiology.

Dr. Mayeda is recognized as an expert in dementia epidemiology and epidemiologic methods. She gave an NIH Rising Star Invited Lecture in 2019 and received the Society for Epidemiologic Research Brian MacMahon Early Career Award in 2020. She holds multiple national and international professional leadership and service roles related to advancing the application of rigorous quantitative methods in applied research, including serving on the leadership committees of the Methods in Longitudinal Research on Dementia (MELODEM) Initiative and the Advanced Psychometrics Methods in Cognitive Aging Conference.

Dr. Mayeda received her BA in Integrative Biology and Public Health from the University of California, Berkeley, her MPH in Epidemiology from the Columbia University Mailman School of Public Health, and her PhD in Epidemiology and Translational Science from the University of California, San Francisco (UCSF). Before joining the faculty at UCLA in 2018, she completed a postdoctoral fellowship at UCSF.

Education

  • Postdoctoral fellowship, University of California, San Francisco
  • PhD, University of California, San Francisco
  • MPH, Columbia University Mailman School of Public Health
  • BA, University of California, Berkeley

Related Tags

Areas of Interest

  • Aging
  • Alzheimer’s disease and related dementias
  • Stroke
  • Social determinants of health
  • Health equity
  • Lifecourse epidemiology
  • Epidemiologic methods

Selected Courses

  • Epidem 247: Lifecourse Epidemiology
  • Epidem 207: Reproducibility in Epidemiologic Research
  • Epidem 200A: Methods I: Basic Concepts and Study Designs
  • Selected Publications
    • Mobley, TM, Shaw, C, Hayes-Larson, E, et al. Neighborhood disadvantage and dementia incidence in a cohort of Asian American and non-Latino White older adults in Northern California. Alzheimer's Dement. 2022 April 6; 1-11. 
    • Hayes-Larson E, Mobley TM, Mungas D, Seamans MJ, Glymour MM, Gilsanz P, DeCarli C, Whitmer RA, Mayeda ER. Accounting for lack of representation in dementia research: Generalizing KHANDLE study findings on the prevalence of cognitive impairment to the California older population. Alzheimer's Dement. 2022 Feb 1;1-9. 
    • Hayes-Larson E, Mobley TM, Gilmore-Bykovskyi A, Shaw C, Karlamangla A, Manly JJ, Mayeda ER. Racial/Ethnic Differences in Health-Related Quality of Life in Persons With and Without Dementia. J Am Geriatr Soc. 2021 Mar 16;69(3):629-636. 
    • Shaw C, Hayes-Larson E, Glymour MM, Dufouil C, Hohman TJ, Whitmer RA, Kobayashi LC, Brookmeyer R, Mayeda ER. Evaluation of Selective Survival and Sex/Gender Differences in Dementia Incidence Using a Simulation Model. JAMA Netw Open. 2021 Mar 1;4(3):e211001. 
    • Mayeda ER, Mobley TM, Weiss RE, Murchland AR, Berkman LF, Sabbath EL. Association of work-family experience with mid- and late-life memory decline in US women. Neurology. 2020 Dec 8;95(23):e3072-e3080.
    • Hayes-Larson E, Ackley SF, Zimmerman SC, et al. The competing risk of death and selective survival cannot fully explain the inverse cancer-dementia association. Alzheimer’s Dement. 2020 Dec 8;16(12):1696-1703.
    • Mayeda ER, Banack HR, Bibbins-Domingo K, Al Hazzouri AZ, Marden JR, Whitmer RA, Glymour MM. Can survival bias explain the age attenuation of racial inequalities in stroke incidence?: a simulation study. Epidemiology. 2018 Jul 1;29(4):525-32.
    • Mayeda ER, Tchetgen Tchetgen EJ, Power MC, Weuve J, Jacqmin-Gadda H, Marden JR, Vittinghoff E, Keiding N, Glymour MM. A simulation platform for quantifying survival bias: an application to research on determinants of cognitive decline. American Journal of Epidemiology. 2016 Aug 31;184(5):378-87. 
    • Mayeda ER, Glymour MM, Quesenberry CP, Whitmer RA. Inequalities in dementia incidence between six racial and ethnic groups over 14 years. Alzheimer's & Dementia. 2016 Mar 1;12(3):216-24.
    • Visit PubMed