Detecting outlying trials in network meta-analysis.
Stat Med
; 34(19): 2695-707, 2015 Aug 30.
Article
en En
| MEDLINE
| ID: mdl-25851533
ABSTRACT
Network meta-analysis (NMA) expands the scope of a conventional pairwise meta-analysis to simultaneously handle multiple treatment comparisons. However, some trials may appear to deviate markedly from the others and thus be inappropriate to be synthesized in the NMA. In addition, the inclusion of these trials in evidence synthesis may lead to bias in estimation. We call such trials trial-level outliers. To the best of our knowledge, while heterogeneity and inconsistency in NMA have been extensively discussed and well addressed, few previous papers have considered the proper detection and handling of trial-level outliers. In this paper, we propose several Bayesian outlier detection measures, which are then applied to a diabetes data set. Simulation studies comparing our approaches in both arm-based and contrast-based model settings are provided in two supporting appendices.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Sesgo
/
Metaanálisis como Asunto
/
Ensayos Clínicos como Asunto
/
Teorema de Bayes
Tipo de estudio:
Prognostic_studies
/
Systematic_reviews
Límite:
Humans
Idioma:
En
Revista:
Stat Med
Año:
2015
Tipo del documento:
Article
País de afiliación:
Estados Unidos