Coefficients of Determination for Multiple Logistic Regression Analysis

By S. Menard. 2000

733 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/5784ccd09e5f4129700b58c1efd57b5f4033ee0f

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Citations in the corpus

Cyberbullying Among Adolescents: A General Strain Theory Perspective (2018, methodology): “Three logistic regression models were tested in this study since the outcomes variables developed are dichotomous (Menard, 2000).”
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation (2021, unknown): “…1980 ; Piepho, 2019 ; Srivastava, Srivastava & Ullah, 1995 ; Dougherty, Kim & Chen, 2000 ; Cox & Wermuth, 1992 ; Zhang, 2017 ; Nakagawa, Johnson & Schielzeth, 2017 ; Menard, 2000 ) and to the proposal of ad-hoc variations ( Young, 2000 ; Renaud & Victoria-Feser, 2010 ; Lee et al., 2012 ).”
An Introduction to Logistic Regression Analysis and Reporting (2002, background): “None, however, renders the meaning of variance explained (Long, 1997, pp. 104-109; Menard, 2000).”
The Confounding Effect of Class Size on the Validity of Object-Oriented Metrics (2001, background): “” However, Menard [85] notes that the comparison”
Six Approaches to Calculating Standardized Logistic Regression Coefficients (2004, methodology): “The standardized coefficient suggested by Menard (1995) has the interpretation “a one standard deviation difference in X is associated with a b∗M standard deviation difference in logit(Y),” instead of a b∗M unit difference in logit(Y ).”
“Positive” Results Increase Down the Hierarchy of the Sciences (2010, background): “1% reduction in error (although the validity of R(2)-equivalents in logistic regression is controversial [46]).”
The importance of biotic interactions in species distribution models: a test of the Eltonian noise hypothesis using parrots (2014, background): “This metric is preferable to other R2 analogues because it has the most intuitive interpretation and is the most generally applicable and consistently useful (Menard, 2000).”
Importance of abiotic stress as a range‐limit determinant for European plants: insights from species responses to climatic gradients (2009, methodology): “The proportion of variation in species occurrences explained by a given model was computed as the likelihood ratio R 2 ( ), which provides the best estimate for the explained variation in multiple logistic regressions (Menard, 2000).”
A Comparison of Logistic Regression Pseudo R 2 Indices (2013, unknown): “Menard (2000), in a study comparing five distinct pseudo R 2 indices ( 2 2 2 2 2 and , , , , LE NK MCS AN MF R R R R R )”
Using Dominance Analysis to Determine Predictor Importance in Logistic Regression (2009, methodology): “McFadden's measure varies naturally between 0 and 1 (Estrella, 1998; Menard, 2000) and is dimensionless, in that it is independent of the units of measurement of the variables in the model (Menard, 2000).”
Coefficients of Determination in Logistic Regression Models—A New Proposal: The Coefficient of Discrimination (2009, methodology): “These definitions are among those studied by Kvålseth (1985), and they are also mentioned in the review article by Menard (2000), as alternative expressions for essentially the same quantity.”