Using Dominance Analysis to Determine Predictor Importance in Logistic Regression

218 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Relative Importance Analysis: A Useful Supplement to Regression Analysis (2011, methodology): “Although both dominance analysis and relative weight analysis were developed for use with OLS regression, Azen and Traxel (2009) and Tonidandel and LeBreton (2010) presented modifications of these respective analyses to handle categorical criterion variables that would typically be analyzed using ”
Determining Predictor Importance in Hierarchical Linear Models Using Dominance Analysis (2013, methodology): “The four predictors (X1 to X4) were all at Level 1 and we adopted the correlation matrix used in Azen and Traxel (2009) as the basis for generating the between-group and the within-group covariance matrices.”