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Non-significant p-values? Strategies to understand and better determine the importance of effects and interactions in logistic regression
In the context of generalized linear models (GLMs), interactions are automatically induced on the natural scale of the data. The conventional approach to measuring effects in GLMs based on significance testing (e.g. the Wald test or using deviance to assess model fit) is not always appropriate. The...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6261058/ https://www.ncbi.nlm.nih.gov/pubmed/30475804 http://dx.doi.org/10.1371/journal.pone.0205076 |