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Methods for significance testing of categorical covariates in logistic regression models after multiple imputation: power and applicability analysis
BACKGROUND: Multiple imputation is a recommended method to handle missing data. For significance testing after multiple imputation, Rubin’s Rules (RR) are easily applied to pool parameter estimates. In a logistic regression model, to consider whether a categorical covariate with more than two levels...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5568368/ https://www.ncbi.nlm.nih.gov/pubmed/28830466 http://dx.doi.org/10.1186/s12874-017-0404-7 |