I’m still pretty new to generalized linear models, and I struggle with a lot of the notation in most of the GLM texts I’ve picked up. Are there extremely popular GLM books that lend themselves better to readability?

**Answer**

For a new practitioner, I like Gelman and Hill.

Data Analysis Using Regression and Multilevel/Hierarchical Models

Ostensibly the book is about Hierarchical Generalized Linear Models, a more advanced topic than GLMs; the first section, though, is a wonderful practitioners guide to GLMs.

The book is light on theory, heavy on disciplined statistical practice, overflowing with case studies and practical R code, all told in a pleasant, friendly voice.

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