Logistic Regression: A Primer
By F. Pampel. 2000
1,137 citations recorded by the source corpus.
The Logic of Logistic Regression Interpreting Logistic Regression Coefficients Estimation and Model Fit Probit Analysis Conclusion
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/9e12316d64994a82a6d862869257bd4fcdb811f5
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In Statistics and Probability
- Jay P. Singh
- P. Ellis
- Shaun L. Gabbidon
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- K. Chau
Citations in the corpus
- What matters in college for retaining aspiring scientists and engineers from underrepresented racial groups (2014, methodology): “predictors, the delta-p statistic represents the expected change in probability associated with oneunit change from themean (Pampel, 2000).”
- An Empirical Study on the Determinants of Essential Patent Claims in Compatibility Standards (2011, background): “Since we are interested in comparing the relative effect of patent value with that of strategic factors, we estimate standardised coefficients which are obtained by normalising all the co-variates so that they have a mean of zero and standard deviation of one (Pampel, 2000).”
- Recent changes in the function and frequency of Standard English genitive constructions: a multivariate analysis of tagged corpora (2007, methodology): “6 Multivariate analysis We will now use binary logistic regression (see Pampel 2000 for an introduction) to quantify the combined contribution of all the conditioning factors discussed so far.”
- The Use of Force between the Police and Persons with Impaired Judgment (2004, background): “As noted by Pampel (2000), Tiny changes in probabilities result in huge changes in the odds, and show that the odds increase toward infinity as the probabilities come closer and closer to one.”
- The Dependence of Family Businesses on a Single Decision‐Maker (2005, background): “14Little is known about the small sample properties of tests with limited dependent variables (see Pampel 2000)—that is, censored sample problems.”
- International market entry mode strategies of manufacturing firms and service firms: A resource‐based perspective (2004, background): “In other words, the odds of adopting the predicted entry mode increase when the coefficient of the independent variable is positive and the test statistics are significant ( Pampel, 2000”
- Recreation and Leisure Research from an Active Living Perspective: Taking a Second Look at Urban Trail Use Data (2005, background): “…the relative predictive power of the independent variables, where a value above or below the reference value of 1.0 reflects the percent likelihood of correctly predicting the dependent variable category as a function of the independent variable category (Hosmer & Lemeshow, 1989; Pampel, 2000).”
- Effect Size Estimation: Factors to Consider and Mistakes to Avoid (2003, methodology): “Although the effect size between two variables reflected by a point-biserial correlation is accurate, the significance test for this correlation is imprecise, given that this correlational approach is based upon the same assumptions as the simple linear regression model ( Pampel, 2000 ).”
- Academic achievement among first semester undergraduate psychology students: the role of course experience, effort, motives and learning strategies (2010, methodology): “... for the CFI, which provides an evaluation of the difference between an independent model and the specified model (Bentler 1990; Browne and Cudeck 1993), the RMSEA, which estimates how well the model would fit the sample if optimal parameters were available (Hu and Bentler 1995), and the SRMR, wh”