Harmonization of Cognitive Function in Longitudinal Integrative Data Analysis: Results from two Chinese datasets

GSA 2025 Abstract

Abstract

Objective: Integrating data from multiple longitudinal studies is crucial for understanding cognitive aging across different population groups. However, common harmonization methods, such as z-scores or percentiles, often fail to account for differences in measurement properties and sample demographics, potentially introducing bias.

The paper

University at Buffalo, State University of New York

GSA 2025 Abstract · 31 Dec 2025 · CC BY

Presented at GSA 2025

doi.org/10.1093/geroni/igaf122.2294