Feature screening via concordance indices for left-truncated and right-censored survival data

Ultrahigh-dimensional data analysis has been a popular topic in decades. In the framework of ultrahigh-dimensional setting, feature screening methods are key techniques to retain informative covariates and screen out non-informative ones when the dimension of covariates is extremely larger than the...

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Bibliographic Details

Published in:	Journal of statistical planning and inference Vol. 232; p. 106153
Main Author:	Chen, Li-Pang
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01-09-2024
Subjects:	Biased sampling Incomplete data Marginal correlation Sure screening property Ultrahigh-dimensionality Incomplete data Marginal correlation Biased sampling Sure screening property Ultrahigh-dimensionality
Online Access:	Get full text
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