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On the bias of complete‐ and shifting‐case meta‐regressions with missing covariates
Missing covariates is a common issue when fitting meta‐regression models. Standard practice for handling missing covariates tends to involve one of two approaches. In a complete‐case analysis, effect sizes for which relevant covariates are missing are omitted from model estimation. Alternatively, re...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9545321/ https://www.ncbi.nlm.nih.gov/pubmed/35343067 http://dx.doi.org/10.1002/jrsm.1558 |