Chapter 1 About this book

Welcome to our bookdown book on Generalized Linear Models. This book is the result of the authors’ Reading and Conference Class at Oregon State University Winter term 2021. We hope you find it useful. The code generating this book can be found at https://github.com/GeneralizedRegressionModelingAgency/GRMA. If you find a problem or have questions, we encourage you to file an issue in our Github Repository.

To learn this material ourselves, we used Generalized Linear Models With Examples in R by Peter K. Dunn and Gordon K. Smyth(Dunn and Smyth 2018). If you are looking for more background reading or examples and applications, we recommend this book, as it is a good, accessible, resource to understand these models.

A big thank you to James Molyneux for leading and organizing our reading and conference class.

1.1 About the Authors

Emma Grossman is a graduate student finishing her MS degree in Statistics at Oregon State University. She enjoys using machine learning to solve statistical problems and loves programming in R. You can find more about her on her website.

Leah Marcus is a graduate student obtaining her MS in Statistics. Her interests are statistical modeling applications, with a focus in Economics and baseball. You can find her on LinkedIn.

Emily Palmer is a graduate student in statistics studying statistical methods in microbiome research. You can find more of her work on her GitHub, or follow her on Twitter.

Katherine Pulham is a graduate student and early-career researcher in the field of statistics. Her research interests are point processes, statistical computing, regression methods and Bayesian statistics. You can find her on LinkedIn.

Andrew Rumments exists and is cool

1.2 Find a problem? Have a question?

The best way to notify the authors of a problem is to file an issue on this book’s [GitHub repository.

References

Dunn, Peter K, and Gordon K Smyth. 2018. Generalized Linear Models with Examples in R. Springer.