Elizabeth Rose Mayeda

Elizabeth Rose Mayeda (she/her) is a tenured Associate Professor in the Department of Epidemiology at the UCLA Fielding School of Public Health. Dr. Mayeda's research focuses on dementia epidemiology and quantitative methods, with particular emphasis on addressing key methodological challenges in dementia research, including selection bias. Her long-term research goals are to: (1) identify effective population-level strategies to prevent dementia 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, received the Society for Epidemiologic Research Brian MacMahon Early Career Award in 2020, and was awarded a Presidential Early Career Award for Scientists and Engineers (PECASE) award in 2025. 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 disparities
  • Lifecourse epidemiology
  • Epidemiologic methods
  • Causal inference

Selected Courses

  • Epidem 247: Lifecourse Epidemiology
  • Epidem 207: Reproducibility in Epidemiologic Research
  • Epidem 200A: Methods I: Basic Concepts and Study Designs
  • Selected Publications

    • Hayes-Larson E, Andrews RM, Kezios KL, Bercu A, Rouanet A, Helmer C, Crane PK, Gibbons L, Klinedinst BS, McKevoy LK, Nichols E, Weuve J, Rajan KB, Hwang PH, Mez J, Farina M, Shaw C, Sims KD, Therneau T, Petersen RC, Bouteloup V, Gross A, Albert M, Morris JC, Masters CL, Resnick SM, Maruff P, Manly JM, Turney IC, Vonk JMJ, Avila-Rieger J, Weigand A, Chen R, Wang J, Proust-Lima C, Mayeda ER. Approaches to timescale choice in cognitive aging research and potential implications for estimated exposure effects: coordinated analyses in ten cohorts of older adults. Epidemiology. 2025 Jul 1;36(4):560-571.

    • Rojas-Saunero LP, Zhou Y, Hayes-Larson E, Wu Y, Mobley T, Nianogo R, Elser H, Gee GC, Brookmeyer R, Whitmer RA, Gilsanz P, Mayeda ER. Effect of Incident Stroke on Dementia Risk Over 10 Years in a Cohort of Asian American and Non-Latino White Older Adults in California. Neurology. 2025 Apr;104(7):e2134885.

    • Wu Y, Hayes-Larson E, Zhou Y, Bouteloup V, Zimmerman SC, Pederson AM, Planche V, Seamans MJ, Westreich D, Glymour MM, Gibbons LE, Dufouil C, Mayeda ER. Statistical harmonization of measures across studies using external data: self-rated health and self-rated memory. Annals of Epidemiology. 2025 Feb 1;102:86-90.

    • Hayes-Larson E, Zhou Y, Rojas-Saunero PL, Shaw C, Seamans MJ, Glymour MM, Murchland AR, Westreich D, Mayeda ER. Methods for extending inferences from observational studies: considering causal structures, identification assumptions, and estimators. Epidemiology. 2024 Nov 1;35(6):753-63.

    • Ikesu R, Wu Y, Zimmerman SC, Inoue K, Buto P, Power MC, Schaefer CA, Glymour MM, and Mayeda ER. Representativeness of participants in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial compared to middle-aged and older adults living with diabetes in the United States. Epidemiology. 2024 Jul;35(4):432-436.

    • Rojas-Saunero LP, Glymour MM, Mayeda ER. Selection Bias in Health Research: Quantifying, Eliminating, or Exacerbating Health Disparities? Current Epidemiology Reports. 2024 Mar;11(1):63-72.

    • Shaw C, Wu Y, Zimmerman SC, Hayes-Larson E, Glymour MM, Power MC, Belin TR, Mayeda ER. Comparison of imputation strategies for incomplete longitudinal data in lifecourse epidemiology research. American Journal of Epidemiology. 2023 Nov;192(12):2075-2084.

    • Mobley TM, Shaw C, Hayes-Larson E, Fong J, Gilsanz P, Gee GC, Brookmeyer R, Whitmer RA, Casey JA, Mayeda ER. Neighborhood disadvantage and dementia incidence in a cohort of Asian American and non-Latino white older adults in Northern California. Alzheimer’s & Dementia. 2023 Jan;19(1):296-306.

    • Hayes-Larson E, Mobley TM, Mungas D, Seamans M, 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 & Dementia. 2022 Nov;18(11):2209-2217.

    • 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.
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