A comparison of different methods to adjust survival curves for confounders

Treatment specific survival curves are an important tool to illustrate the treatment effect in studies with time‐to‐event outcomes. In non‐randomized studies, unadjusted estimates can lead to biased depictions due to confounding. Multiple methods to adjust survival curves for confounders exist. Howe...

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Veröffentlicht in:	Statistics in medicine 2023-05, Vol.42 (10), p.1461-1479
Hauptverfasser:	Denz, Robin, Klaaßen‐Mielke, Renate, Timmesfeld, Nina
Format:	Artikel
Sprache:	eng
Schlagworte:	adjusted survival curves Bias causal inference Causality Clinical outcomes Comparative analysis Computer Simulation confounding Humans Medical treatment Models, Statistical Models, Theoretical Propensity Score Regression Analysis simulation Statistical inference Statistical methods Survival analysis time‐to‐event
Online-Zugang:	Volltext
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