Measures of predictor variable importance in multiple regression: An additional suggestion (original) (raw)
On Variable Importance in Linear Regression
Bruno Zumbo
1998
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A Heuristic Method for Estimating the Relative Weight of Predictor Variables in Multiple Regression
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Multivariate Behavioral Research, 2000
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Using Explained Variance Allocation to analyse Importance of Predictors
Henri Wallard
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Dominance analysis: A new approach to the problem of relative importance of predictors in multiple regression
David Budescu
Psychological Bulletin, 1993
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Determining Predictor Importance In Multiple Regression Under Varied Correlational And Distributional Conditions
Rachel Fouladi
Journal of Modern Applied Statistical Methods, 2002
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The Importance of Variable Importance
Charles D Coleman
arXiv (Cornell University), 2022
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Discussion of nonparametric variable importance assessment
Min Lu
Biometrics, 2020
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Information importance of predictors: Concept, measures, Bayesian inference, and applications
Joseph Retzer
Computational Statistics & Data Analysis, 2009
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The Dominance Analysis Approach for Comparing Predictors in Multiple Regression
David Budescu
Psychological Methods, 2003
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Investigating the Performance of Alternate Regression Weights by Studying All Possible Criteria in Regression Models with a Fixed Set of Predictors
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On the selection of the weighting parameter value in Principal Covariates Regression
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Chemometrics and Intelligent Laboratory Systems, 2013
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Calculating the relative importance of multiple regression predictor variables using dominance analysis and random forests
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On association in regression: the coefficient of determination revisited
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FIRE: an SPSS program for variable selection in multiple linear regression analysis via the relative importance of predictors
Urbano Lorenzo-Seva
Behavior Research Methods, 2011
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Elastic Correlation Adjusted Regression (ECAR) scores for high dimensional variable importance measuring
Jianle Sun
Scientific Reports, 2021
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Use of the multiple lens approach to multiple regression findings with a national dataset
Laura Nathans
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Interpreting Multiple Linear Regression: A Guidebook of Variable Importance
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Multivariate relative importance: Extending relative weight analysis to multivariate criterion spaces
James M LeBreton, Scott Tonidandel
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PanJen: An R package for Ranking Transformations in a Linear Regression
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The R Journal
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Relevance, prediction and interpretation for linear models with many predictors
Inge S . Helland
1996
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Quantifying the Relative Importance of Predictors in Multiple Linear Regression Analyses for Public Health Studies
Leena Nylander-French
Journal of Occupational and Environmental Hygiene, 2008
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Intervention in prediction measure: a new approach to assessing variable importance for random forests
Irene Epifanio
BMC Bioinformatics, 2017
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The ABC of linear regression analysis: What every author and editor should know
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A Proposal to Estimate the Variable Importance Measures in Predictive Models Using Results from a Wrapper
Hugo Andres Dorado Betancour
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Introduction to Multivariate Regression Analysis
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Hippokratia
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Variable importance in latent variable regression models
Johan Westerhuis
Journal of Chemometrics, 2014
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Resistant measures in assessing the adequacy of regression models
John David
Scientific African, 2020
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Relative Importance of Predictors in Multilevel Modeling
Bruno Zumbo
Journal of Modern Applied Statistical Methods, 2014
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An Alternative Approach to AIC and Mallow’s Cp Statistic-Based Relative Influence Measures (RIMS) in Regression Variable Selection
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Open Journal of Statistics, 2016
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Factors associated with sensitive regression weights: A fungible parameter approach
Paul De Boeck
Behavior Research Methods, 2019
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An Efficient Method of Identification of Influential Observaions in Multiple Linear Regression and its Application to Real Data
Hassan S. Uraibi
Sains Malaysiana, 2023
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Regular Articles: Relative Importance of Predictors in Multilevel Modeling
Bruno Zumbo
2014
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Using linear regression and ANN techniques in determining variable importance
andriannah mbandi
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