Joint Modelling Approaches to Survival Analysis via Likelihood-Based Boosting Techniques

Joint models are a powerful class of statistical models which apply to any data where event times are recorded alongside a longitudinal outcome by connecting longitudinal and time-to-event data within a joint likelihood allowing for quantification of the association between the two outcomes without...

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Veröffentlicht in:	Computational and mathematical methods in medicine 2021-11, Vol.2021, p.4384035-11
Hauptverfasser:	Griesbach, Colin, Groll, Andreas, Bergherr, Elisabeth
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Anti-HIV Agents - therapeutic use Bias CD4 Lymphocyte Count - statistics & numerical data Computational Biology Computer Simulation HIV Infections - drug therapy HIV Infections - immunology Humans Likelihood Functions Longitudinal Studies Models, Statistical Survival Analysis
Online-Zugang:	Volltext
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