Applied Regression Analysis and Generalized Linear Models

By John Fox. 2008

2,205 citations recorded by the source corpus.

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Citations in the corpus

Mere Renovation is Too Little Too Late: We Need to Rethink our Undergraduate Curriculum from the Ground Up (2015, methodology): “What are the essential ideas here? Most traditional textbooks take one of three over-narrow points of view: ANOVA generalizes the two-sample t-test to three or more samples (Moore and McCabe 1989; Samuels and Witmer 2011), ANOVA is a structured comparison of variance estimates via messy algebraic me”
Sustainable Certification for Future Generations (2014, unknown): “See also Fox (2008), Chapter 15, pp. 382-383.”
Effect Displays in R for Multinomial and Proportional-Odds Logit Models: Extensions to the effects Package (2009, methodology): “The multi-nomial and proportional-odds logit models are common statistical models for polytomous (i.e., multi-category) categorical responses; these models are described in many sources (see, e.g., Fox 2008, Section 14.2).”
Extracting the Variance Inflation Factor and Other Multicollinearity Diagnostics from Typical Regression Results (2017, background): “Some claim the prefix multi- in multicollinearity is redundant (e.g., Belsley et al., 1980), whereas others argue the multiprefix emphasizes that “collinear relationships are not limited to strong correlations between pairs of explanatory variables” (Fox, 2008, p. 309).”
Asynchronous Carbon Sink Saturation in African and Amazonian Tropical Forests (2020, unknown): “The statistical significance of continental differences in slope were assessed using the F-statistic (Anova function in R, car package 73 ).”
The Analysis of Count Data: A Gentle Introduction to Poisson Regression and Its Alternatives (2009, methodology): “For GLiMs, once again, calculation of exact estimates of these statistics is not computationally possible in larger samples, so procedures that provide approximations to DFFITS, Cook’s D, and DFBETAS have been offered (Dobson, 2002; Fox, 2008; Williams, 1987).”
Multiply robust imputation procedures for the treatment of item nonresponse in surveys (2017, methodology): “SIMULATION STUDY We performed a simulation study to assess the bias and efficiency of the multiply robust estimator ŶMR and the relative bias and coverage probability of the jackknife variance estimator V̂J. We considered the simulation set-up of Kang & Schafer (2007), also used by Chan & Yam (2014)”
Fast and Accurate Uncertainty Estimation in Chemical Machine Learning. (2018, methodology): “In bootstrapping, the procedure is called the pairs resampling algorithm (as opposed to the bootstrap residuals resampling algorithm), 14,15 and it is commonly used in machine learning to construct committee models 36 and estimate prediction uncertainties.”
Foundations of Linear and Generalized Linear Models (2015, background): “Books such as those by Dobson and Barnett (2008), Fox (2008), and Madsen and Thyregod (2011) present fine overviews of both linear and generalized linear models.”
Social ties and international entrepreneurship: Opportunities and constraints affecting firm internationalization (2011, methodology): “S o c ia l tie s a n d in te rn a tio n a l e n tre p re n e u rsh ip P a u l D E llis 1 1 2 Jo u rn a l o f In te rn a tio n a l B u sin e ss S tu d ie s Tests of statistical significance were then based on the robust standard errors generated by this procedure (Fox, 2008: Chapter 19).”