Heterogeneity of cognitive aging among diverse race/ethnic groups may be influenced by intergenerational changes in SES, cultural norms, and behaviors and changes in health related to changes in the social and physical environment.

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Research on Alzheimer's Disease and Related Dementias (ADRD) is hampered by the absence of studies including prospective follow-up from early life through older ages when ADRD is diagnosed. This is a notable gap in the United States and impedes research on lifecourse determinants of ADRD and ADRD disparities, many of which appear attributable to early life experiences. In this simulation project, we evaluate a matching method to create a synthetic lifecourse cohort by merging early and late life cohorts on a set of harmonized covariates. We evaluate performance under several causal scenarios for the association between our exposure and outcome, and varying characteristics of the matching method. In scenarios when a measure is available along all pathways linking exposure and outcome, the synthetic cohort performs well, with bias approaching null as the number of matching levels increases. This approach may create novel opportunities to rigorously evaluate early- and mid-life determinants of ADRD and ADRD disparities.