Nonparametric predictive model for sparse and irregular longitudinal data

• Published in: Biometrics Vol. 80; no. 1
• Main Authors: Wang, Shixuan, Kim, Seonjin, Ryan Cho, Hyunkeun, Chang, Won
• Format: Journal Article
• Language: English
• Published: United States Oxford University Press 29.01.2024
• Subjects: trajectory prediction; longitudinal data analysis; distance; kernel estimation

We propose a kernel-based estimator to predict the mean response trajectory for sparse and irregularly measured longitudinal data. The kernel estimator is constructed by imposing weights based on the subject-wise similarity on L2 metric space between predictor trajectories, where we assume that an a...