Jonathan S. Schildcrout

This paper introduces a semiparametric method for joint mean-variability inference in longitudinal studies with missing data, demonstrating robustness and reliability through simulations and a real-world application.

This study shows that optimizing study design, such as increasing age variability and adding longitudinal measurements, improves replicability and effect sizes in brain-wide association studies.