Cargando…
Exploring consequences of simulation design for apparent performance of methods of meta-analysis
Contemporary statistical publications rely on simulation to evaluate performance of new methods and compare them with established methods. In the context of random-effects meta-analysis of log-odds-ratios, we investigate how choices in generating data affect such conclusions. The choices we study in...
Autores principales: | Kulinskaya, Elena, Hoaglin, David C., Bakbergenuly, Ilyas |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8411476/ https://www.ncbi.nlm.nih.gov/pubmed/34110941 http://dx.doi.org/10.1177/09622802211013065 |
Ejemplares similares
-
Pitfalls of using the risk ratio in meta‐analysis
por: Bakbergenuly, Ilyas, et al.
Publicado: (2019) -
Estimation in meta-analyses of response ratios
por: Bakbergenuly, Ilyas, et al.
Publicado: (2020) -
Estimation in meta‐analyses of mean difference and standardized mean difference
por: Bakbergenuly, Ilyas, et al.
Publicado: (2019) -
Meta-analysis of binary outcomes via generalized linear mixed models: a simulation study
por: Bakbergenuly, Ilyas, et al.
Publicado: (2018) -
Beta‐binomial model for meta‐analysis of odds ratios
por: Bakbergenuly, Ilyas, et al.
Publicado: (2017)