A Generalized Hosmer–Lemeshow Goodness-of-Fit Test for Multinomial Logistic Regression Models
By Morten Wang Fagerland, David W. Hosmer Jr.. 2012
230 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/2af8e423b6afdc85fad3fb6d360813c7ce9f6069
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Science and Operations Research
- Morten Wang Fagerland
- David W. Hosmer Jr.
- Tanja van der Lippe
- Maaike van der Vleuten
- Ineke Maas
- Eva Jaspers
- MaryBeth Walpole
- M. Ojala
In Statistics and Probability
- Morten Wang Fagerland
- David W. Hosmer Jr.
- Tanja van der Lippe
- Maaike van der Vleuten
- Ineke Maas
- Eva Jaspers
- MaryBeth Walpole
- M. Ojala
Citations in the corpus
- Boys’ and girls’ educational choices in secondary education. The role of gender ideology (2016, methodology): “To assess model fit, we used generalised Hosmer and Lemeshow goodness-offit, which is appropriate for a multinomial logistic regression model (Fagerland and Hosmer 2012).”
- Tests for goodness of fit in ordinal logistic regression models (2016, methodology): “One of these methods was based on a generalization of the Hosmer–Lemeshow goodness-of-fit test [4] to multinomial logistic regression.[5,6] The other methods were a likelihood ratio test by Lipsitz et al.”