Cargando…
Likelihood-based random-effects meta-analysis with few studies: empirical and simulation studies
BACKGROUND: Standard random-effects meta-analysis methods perform poorly when applied to few studies only. Such settings however are commonly encountered in practice. It is unclear, whether or to what extent small-sample-size behaviour can be improved by more sophisticated modeling. METHODS: We cons...
Autores principales: | Seide, Svenja E., Röver, Christian, Friede, Tim |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6330405/ https://www.ncbi.nlm.nih.gov/pubmed/30634920 http://dx.doi.org/10.1186/s12874-018-0618-3 |
Ejemplares similares
-
Hartung-Knapp-Sidik-Jonkman approach and its modification for random-effects meta-analysis with few studies
por: Röver, Christian, et al.
Publicado: (2015) -
Meta‐analysis of few small studies in orphan diseases
por: Friede, Tim, et al.
Publicado: (2016) -
Meta‐analysis of two studies in the presence of heterogeneity with applications in rare diseases
por: Friede, Tim, et al.
Publicado: (2016) -
Using phase II data for the analysis of phase III studies: An application in rare diseases
por: Wandel, Simon, et al.
Publicado: (2017) -
Changing EDSS Progression in Placebo Cohorts in Relapsing MS: A Systematic Review and Meta-Regression
por: Röver, Christian, et al.
Publicado: (2015)