Effect Displays for Multinomial and Proportional-Odds Logit Models
By John Fox, Robert Andersen. 2006
70 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/9b69c8864be8be4b5c0911008b0552cf88631c7d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Jang-Pyo Hong
- John Fox
- Russell V. Lenth
- Brandon M. Greenwell
- Seongho Kim
- Jamie Decoster
- Sanford Weisberg
- C. Schöb
In Statistics and Probability
- Jang-Pyo Hong
- John Fox
- Josh Curtis
- R. Andersen
- Russell V. Lenth
- Jamie Decoster
- Seongho Kim
- Brandon M. Greenwell
Citations in the corpus
- The polarizing effect of economic inequality on class identification: Evidence from 44 countries (2012, background): “All other variables in the regression equation were set to typical values (see Fox and Andersen, 2006).”
- Effect Displays in R for Multinomial and Proportional-Odds Logit Models: Extensions to the effects Package (2009, methodology): “Fox and Andersen (2006) extended effect displays to multi-nomial and proportional-odds logit models where the principal obstacle was the derivation of standard errors for the effects.”