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...

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Detalles Bibliográficos
Autores principales: Eekhout, Iris, van de Wiel, Mark A., Heymans, Martijn W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Technical Advance
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

Internet

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

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