Continuous(ly) missing outcome data in network meta-analysis: A one-stage pattern-mixture model approach

Appropriate handling of aggregate missing outcome data is necessary to minimise bias in the conclusions of systematic reviews. The two-stage pattern-mixture model has been already proposed to address aggregate missing continuous outcome data. While this approach is more proper compared with the excl...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Statistical methods in medical research 2021-04, Vol.30 (4), p.958-975
Hauptverfasser:	Spineli, Loukia M, Kalyvas, Chrysostomos, Papadimitropoulou, Katerina
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayesian analysis Bias Continuous data Intervention Mathematical models Meta-analysis Parameters Pattern analysis Systematic review
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!