Coefficients of Determination in Logistic Regression Models—A New Proposal: The Coefficient of Discrimination
By Tue Tjur. 2009
865 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/5731059a63f79392a4ea6e6cb956860214bbbdc0
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
- Francis L. Huang
- E. Greer
- A. Gregory
- D. Taylor‐Rodríguez
- Shinichi Nakagawa
- Aude Oliva
- Gleb Tikhonov
- Erin M. Schliep
In Statistics and Probability
- David B. Dunson
- H. Schielzeth
- James S. Clark
- Alan E. Gelfand
- Shinichi Nakagawa
- Otso Ovaskainen
- Francis L. Huang
- N. Abrego
Citations in the corpus
- Using latent variable models to identify large networks of species‐to‐species associations at different spatial scales (2016, methodology): “We computed for each species the TjurR2 values (Tjur 2009) for both Predictions 1 and 2 and assessed the importance of species-to-species associations by examining if and how much more accurate Prediction 2 was than Prediction 1.”
- An Examination of Restorative Interventions and Racial Equity in Out-of-School Suspensions (2018, methodology): “The ORs of Model 1 (see Table 3) indicate that Black students were more likely than White students (OR = 1.74, p .001, d = 0.31) to receive an OSS (McFadden’s R2 = .15, Tjur’s R2 = .23).”
- Seasonal and life-stage variation in the reproductive ecology of a marine apex predator, the tiger shark Galeocerdo cuvier, at a protected female-dominated site (2016, neutral): “The resulting model fit (df = 1; coefficient of discrimination, D = 0.67; Tjur 2009) indicated that T and E 2 had significant predictive value in determining the probability of gravidity in mature sharks (Table 1).”
- Measures of Fit for Logistic Regression (2014, background): “But there’s another R2, recently proposed by Tjur (2009), that I’m inclined to prefer over McFadden’s.”
- Measuring and predicting the influence of traits on the assembly processes of wood‐inhabiting fungi (2017, methodology): “At the level of resource units, we computed Tjus’s R2j (Tjur 2009) for each species.”
- GANalyze: Toward Visual Definitions of Cognitive Image Properties (2019, background): “From left to right: the regression weight, the confidence interval (CI) for that weight, the p-value for statistical significance, and Tjur’s coefficient of discrimination (D), being the regression model’s goodness of fit [26].”
- The influence of board characteristics on sustainability reporting Empirical evidence from Sri Lankan firms (2014, neutral): “339) (Tjur, 2009).”
- Joint Species Distribution Modeling: Dimension Reduction Using Dirichlet Processes (2017, methodology): “To identify a suitable number of columns we use the Tjur R2 coefficient of determination (Tjur, 2009), which compares the estimated probabilities of presence between the observed ones and the observed zeros.”
- Using joint species distribution models for evaluating how species‐to‐species associations depend on the environmental context (2017, background): “mean predicted occurrence probability over occupied sites minus mean predicted occurrence probability over unoccupied sites (Tjur 2009), and (ii)”
- How to make more out of community data? A conceptual framework and its implementation as models and software. (2017, background): “The fitted model explained 10% of species occurrences at the tree level (measured by Tjur’s R2 (Tjur 2009), averaged over species) and 60% at the site level (measured as correlation in abundance, averaged over species).”
- A general and simple method for obtaining R2 from generalized linear mixed‐effects models (2013, background): “It is also important to realize that the R2 can be large due to predictors that are not of direct interest in a particular study (Tjur 2009) such as the sex effect on body size in our example.”