Dynamic survival prediction combining landmarking with a machine learning ensemble: Methodology and empirical comparison

Dynamic prediction models provide predicted survival probabilities that can be updated over time for an individual as new measurements become available. Two techniques for dynamic survival prediction with longitudinal data dominate the statistical literature: joint modelling and landmarking. There i...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Journal of the Royal Statistical Society. Series A, Statistics in society Statistics in society, 2021-01, Vol.184 (1), p.3-30
Hauptverfasser:	Tanner, Kamaryn T., Sharples, Linda D., Daniel, Rhian M., Keogh, Ruth H.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Cystic fibrosis Discrete time dynamic prediction Empirical analysis landmark model Machine learning machine learning ensemble Modelling Performance prediction Prediction models Survival Survival analysis time‐dependent covariates
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!