Power and sample size calculation of two-sample projection-based testing for sparsely observed functional data.

ABSTRACT: Projection-based testing for mean trajectory differences in two groups of irregularly and sparsely observed functional data has garnered significant attention in the literature because it accommodates a wide spectrum of group differences and (non-stationary) covariance structures. This article presents the derivation of the theoretical power function and the introduction of a comprehensive power and sample size (PASS) calculation toolkit tailored to the projection-based testing method developed by Wang¹. Our approach accommodates a wide spectrum of group difference scenarios and a broad class of covariance structures governing the underlying processes. Through extensive numerical simulation, we demonstrate the robustness of this testing method by showcasing that its statistical

SUBMITTER: Koner S 

PROVIDER: S-EPMC12799244 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature