A three-step estimation procedure using local polynomial smoothing for inconsistently sampled longitudinal data

• Published in: Statistics in medicine Vol. 35; no. 20; pp. 3613 - 3622
• Main Authors: Ye, Lei, Youk, Ada O., Sereika, Susan M., Anderson, Stewart J., Burke, Lora E.
• Format: Journal Article
• Language: English
• Published: England Blackwell Publishing Ltd 10.09.2016; Wiley Subscription Services, Inc
• Subjects: analytical weight; Data Accuracy; Data analysis; Estimating techniques; inconsistent sampling; local polynomial smoothing; longitudinal data; Longitudinal Studies; Medical statistics; repeated measures; Sampling; Variances; local polynomial smoothing; analytical weight; inconsistent sampling; longitudinal data; repeated measures

Parametric mixed‐effects models are useful in longitudinal data analysis when the sampling frequencies of a response variable and the associated covariates are the same. We propose a three‐step estimation procedure using local polynomial smoothing and demonstrate with data where the variables to be...