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Assessing subgroup effects with binary data: can the use of different effect measures lead to different conclusions?
BACKGROUND: In order to use the results of a randomised trial, it is necessary to understand whether the overall observed benefit or harm applies to all individuals, or whether some subgroups receive more benefit or harm than others. This decision is commonly guided by a statistical test for interac...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2005
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1134660/ https://www.ncbi.nlm.nih.gov/pubmed/15862124 http://dx.doi.org/10.1186/1471-2288-5-15 |