Eleanor Hayes-Larson

Biography

Eleanor Hayes-Larson is an epidemiologist whose research program integrates social, psychiatric, and neuroepidemiology with advanced statistical methods to understand drivers of cognitive decline and dementia incidence and disparities. Her work takes a lifecourse perspective to examine psychosocial determinants of Alzheimer’s disease and related dementias in diverse populations, with an emphasis on groups historically underrepresented in research. A main line of her research seeks to evaluate the impact of traumatic stress across the lifecourse on cognitive decline, dementia, and neuroimaging biomarkers. In addition, she has a line of methodological research, including both statistical simulation studies and empirical data analysis, that focuses on improving statistical tools for causal inference and generalizability of findings in cognitive aging research.

Recent publications:

• Hayes-Larson E, Ackley S, Zimmerman S, Ospina-Romero M, Glymour MM, Graff RE, Witte JS, Kobayashi LC, Mayeda ER. The competing risk of death and selective survival cannot fully explain the inverse cancer-dementia association. Alzheimers Dement. 2020 Dec;16(12):1696-1703. doi: 10.1002/alz.12168. Epub 2020 Sep 3. PMCID: PMC7902336.
• Hayes-Larson E, Ackley S, Shaw C, Zimmerman S, Glymour MM, Graff RE, Witte JS, Kobayashi LC, Mayeda ER. The role of dementia diagnostic delay in understanding the inverse cancer-dementia link. J Gerontol A Biol Sci Med Sci. 2021 Nov 12:glab341. doi: 10.1093/gerona/glab341. PMCID: PMC9159667.
• 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. Alzheimers Dement. 2022 Nov;18(11):2209-2217. doi: 10.1002/alz.12522. Epub 2022 Feb 1. PMCID: PMC9339583.

Hayes-Larson E, Zhou Y, Rojas-Saunero LP, 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 35(6):p 753-763, 2024.