Welcome to the SAGE edge site for Applied Regression Analysis and Generalized Linear Models, Third Edition!

Combining a modern, data-analytic perspective with a focus on applications in the social sciences, the Third Edition of Applied Regression Analysis and Generalized Linear Models provides in-depth coverage of regression analysis, generalized linear models, and closely related methods, such as bootstrapping and missing data. Updated throughout, this Third Edition includes new chapters on mixed-effects models for hierarchical and longitudinal data. Although the text is largely accessible to readers with a modest background in statistics and mathematics, author John Fox also presents more advanced material in optional sections and chapters throughout the book.

Available with ​Perusall—an eBook that makes it easier to prepare for class
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This site features an array of free resources you can access anytime, anywhere.

Acknowledgments

We gratefully acknowledge John Fox for writing an excellent text. Special thanks are also due to John Fox of McMaster University, Canada for developing the resources on this site.