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A random effects variance shift model for detecting and accommodating outliers in meta-analysis
BACKGROUND: Meta-analysis typically involves combining the estimates from independent studies in order to estimate a parameter of interest across a population of studies. However, outliers often occur even under the random effects model. The presence of such outliers could substantially alter the co...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2011
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3050872/ https://www.ncbi.nlm.nih.gov/pubmed/21324180 http://dx.doi.org/10.1186/1471-2288-11-19 |