Robust approach for variable selection with high dimensional longitudinal data analysis

This article proposes a new robust smooth‐threshold estimating equation to select important variables and automatically estimate parameters for high dimensional longitudinal data. A novel working correlation matrix is proposed to capture correlations within the same subject. The proposed procedure w...

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Veröffentlicht in:	Statistics in medicine 2021-12, Vol.40 (30), p.6835-6854
Hauptverfasser:	Fu, Liya, Li, Jiaqi, Wang, You‐Gan
Format:	Artikel
Sprache:	eng
Schlagworte:	automatic variable selection Cell cycle Computer Simulation Data Analysis high dimensional covariates Humans Models, Statistical outliers Research Design robustness Tukey's biweight method working correlation structure
Online-Zugang:	Volltext
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