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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...
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| Publicado no: | BMC Med Res Methodol |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5356327/ https://ncbi.nlm.nih.gov/pubmed/28302052 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-017-0322-8 |
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