Variable Selection for High-Dimensional Longitudinal Data via Within-Cluster Resampling

The phenomenon of informative cluster size (ICS) emerges when the number of repeated measurements is correlated with the outcome variable. In such scenarios, the prevailing generalized estimating equation (GEE) method often yields biased estimates due to nonignorable cluster size. This study propose...

詳細記述

書誌詳細

出版年:	Mathematics
主要な著者:	Yue Ma, Xuejun Jiang
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2025-04-01
主題:	generalized estimating equations longitudinal data analysis informative cluster size within-cluster resampling penalized likelihood
オンライン･アクセス:	https://www.mdpi.com/2227-7390/13/8/1293