Kernel Estimation of Bivariate Time-Varying Coefficient Model for Longitudinal Data with Terminal Event

• Published in: Journal of the American Statistical Association Vol. 119; no. 546; pp. 1102 - 1111
• Main Authors: Wang, Yue, Nan, Bin, Kalbfleisch, John D.
• Format: Journal Article
• Language: English
• Published: United States Taylor & Francis 02.04.2024; Taylor & Francis Ltd
• Subjects: Bivariate analysis; Complete case analysis; Conditional model; Cost analysis; Covariance matrix; End-stage renal disease; Estimation; Followup; Kidney diseases; Nonparametric regression; Normal distribution; Pointwise confidence interval; Regression coefficients; Regression models; Statistical analysis; Statistics; variance covariance matrix; End-stage renal disease; Pointwise confidence interval; Complete case analysis; Conditional model; Nonparametric regression

We propose a nonparametric bivariate time-varying coefficient model for longitudinal measurements with the occurrence of a terminal event that is subject to right censoring. The time-varying coefficients capture the longitudinal trajectories of covariate effects along with both the followup time and...