Chapter Longitudinal profile of a set of biomarkers in predicting Covid-19 mortality using joint models

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In survival analysis, time-varying covariates are endogenous when their measurements are directly related to the event status and incomplete information occur at random points during the follow-up. Consequently, the time-dependent Cox model leads to biased estimates. Joint models (JM) allow to corre...

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書誌詳細
第一著者:	Ferrante, Pasquale (auth)
その他の著者:	DI MASO, MATTEO (auth), Ferraroni, Monica (auth), Delbue, Serena (auth), Ambrogi, Federico (auth)
フォーマット:	電子媒体図書の章
言語:	英語
出版事項:	Florence Firenze University Press 2021
シリーズ:	Proceedings e report
主題:	Endogenous time-varying covariates Time-dependent Cox model Joint models Inflammatory biomarkers Covid-19 mortality
オンライン･アクセス:	DOAB: download the publication DOAB: description of the publication
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

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