The paradox of the air
Interpreting a logistic regression model.
DOI:
https://doi.org/10.30445/rear.v16i3.1246Keywords:
multiple logistic regression, regression coefficients, residuals, devianceAbstract
The parameters that report on the quality of a multiple logistic regression model and that are usually provided by the statistical programs with which they are carried out are reviewed. Emphasis is placed on the goodness of fit, the predictive capacity and the statistical significance of the model.
References
- Linear and logistic regression. En: Zumel N, Mount J, eds. Practical Data Science with R, 2ª ed. Manning Publications Co. Shelter Island, NY, 2020;215-73.
- Regression. En: Crawley MJ, ed. The R book, 2ª ed. John Wiley & Sons Ltd. Chichester, UK, 2013;449-97.
- Generalized linear models. En: Crawley MJ, ed. The R book, 2ª ed. John Wiley & Sons Ltd. Chichester, UK, 2013;557-78.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Revista Electrónica AnestesiaR
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Envío y derechos de autor