Abstract: This chapter discusses cautions, questions, challenges, and proposals regarding five issues that arise in generalized linear modeling. With primary emphasis on categorical data, we summarize (1) bias that can occur in using ordinary linear models with ordinal response variables, (2) a new proposal about simple ways to interpret effects in generalized linear models that use nonlinear link functions, (3) problems with using Wald significance tests and confidence intervals, (4) a question about the behavior of residuals for generalized linear models, and (5) a new approach in using generalized estimating equations (GEE) methods for marginal multinomial models.
Publication Year: 2019
Publication Date: 2019-01-01
Language: en
Type: book-chapter
Indexed In: ['crossref']
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Cited By Count: 1
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