Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS

Acknowledgments

I would like to express my gratitude to the editorial staff at SAS Press for all their help. I especially wish to thank George McDaniel, acquisitions editor at SAS Press, for his patience with me as I struggled to balance different priorities while writing this book. I would also like to thank Oliver Schabenberger, Jill Tao and Jim Seabolt from SAS Institute Inc. for providing their expert technical reviews of the material in the book. Their feedback and comments certainly helped improve the framework and contents of the book.

I wish to extend a special thanks to my sister Alice, her husband Gary, and my niece Stacy for their incredible support and understanding through what must have seemed an eternity in writing this book. Likewise, ...