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Standardizing effect size from linear regression models with log-transformed variables for meta-analysis
BACKGROUND: Meta-analysis is very useful to summarize the effect of a treatment or a risk factor for a given disease. Often studies report results based on log-transformed variables in order to achieve the principal assumptions of a linear regression model. If this is the case for some, but not all...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5356327/ https://www.ncbi.nlm.nih.gov/pubmed/28302052 http://dx.doi.org/10.1186/s12874-017-0322-8 |