The paradox of the air

Interpreting a logistic regression model.

Authors

  • Manuel Molina Servicio de Gastroenterología Hospital Infantil Universitario La Paz, de Madrid.

DOI:

https://doi.org/10.30445/rear.v16i3.1246

Keywords:

multiple logistic regression, regression coefficients, residuals, deviance

Abstract

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.

Author Biography

Manuel Molina, Servicio de Gastroenterología Hospital Infantil Universitario La Paz, de Madrid.

Especialista en Pediatrí­a y sus áreas Especí­ficas desde 1991. Actualmente ejerzo en el Servicio de Gastroenterologí­a del Hospital Infantil Universitario La Paz, de Madrid.
Además, pertenezco al Grupo de Trabajo de Pediatrí­a Basada en la Evidencia, grupo compartido entre la Asociación Española de Pediatrí­a y la Asociación Española de Pediatrí­a de Atención Primaria.

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.

Published

2024-04-05

How to Cite

Molina, M. (2024). The paradox of the air : Interpreting a logistic regression model. Revista Electrónica AnestesiaR, 16(3). https://doi.org/10.30445/rear.v16i3.1246

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