"I have spent 20 years making every effort to learn and use SAS only by example, so this book really meets my needs in a big way. This book is a winner, highly recommended for anyone who, like me, is a SAS user but only occasionally works with logistic regression models. The book is a fine staff product, and it is hoped that it will be followed by similar efforts for other advanced statistical techniques, such as generalized linear modeling or mixed-model analysis analyzes. "
"The examples provided in this book are clear and concise, allowing the reader to understand and apply given results. Basic concepts are covered in the first six chapters, with goodness-of-fit, regression diagnostics, and correction for overdispersion detailed in chapters 7-9. More advanced topics, rarely found in other software packages performing logistic regression, such as ROC curves, infinite parameters, 1:1 and N:M matched data, interaction models, multinomial logit modeling, LD(50 subscript) analysis and Bradley-Terry modeling for paired comparisons, are described superbly in the remaining chapters."