Categorical data analysis using the sas® system, 2nd edition
By M. Stokes, C. S. Davis, Gary G. Koch. 2000
295 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/3065cab87e54a1f957cf1d2f5562d43dda54bd74
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Citations in the corpus
- Effects of Forest Fragmentation on Pollinator Activity and Consequences for Plant Reproductive Success and Mating Patterns in Bat‐pollinated Bombacaceous Trees 1 (2004, methodology): “Because the scale and distribution of this variable did not follow a normal distribution, we used a generalized linear model using a gamma distribution for the dependent variable and the logarithmic function as a link function using the GENMOD procedure from SAS (SAS 2000, Stokes et al. 2000).”
- The VGAM Package for Categorical Data Analysis (2010, methodology): “Its proc logistic handles the multinomial logit and proportional odds models, as well as exact logistic regression (see Stokes et al. 2000, which is for Version 8 of SAS ).”
- Linking Roadway Geometrics and Real-Time Traffic Characteristics to Model Daytime Freeway Crashes: Generalized Estimating Equations for Correlated Data (2004, methodology): “Otherwise, the model would underestimate the standard errors of the modeling results (1).”
- Matching conditional and marginal shapes in binary random intercept models using a bridge distribution function (2003, methodology): “Other link functions The idea of bridge distribution is easily generalised to other link functions. When the link is the probit, it is straightforward to verify that its bridge distribution is Gaussian. Mixed-effects probit regression models with Gaussian random effects have been discussed by many a”