A comparison of estimation methods adjusting for selection bias in adaptive enrichment designs with time‐to‐event endpoints

Adaptive enrichment designs in clinical trials have been developed to enhance drug developments. They permit, at interim analyses during the trial, to select the sub‐populations that benefits the most from the treatment. Because of this selection, the naive maximum likelihood estimation of the treat...

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Veröffentlicht in:	Statistics in medicine 2022-05, Vol.41 (10), p.1767-1779
Hauptverfasser:	Di Stefano, Fulvio, Pannaux, Matthieu, Correges, Anne, Galtier, Stephanie, Robert, Veronique, Saint‐Hilary, Gaelle
Format:	Artikel
Sprache:	eng
Schlagworte:	adaptive design Bias Computer Simulation enrichment designs Humans interim analysis Likelihood Functions point estimation Selection Bias subpopulation selection survival data
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