This is the second edition of this text on logistic regression methods. As in the first edition, each chapter contains a presentation of its topic in "lecture-book" format together with objectives, an outline, key formulae, practice exercises, and a test. The "lecture-book" has a sequence of illustr
Logistic Regression: A Self-Learning Text
โ Scribed by David G. Kleinbaum, Mitchel Klein
- Publisher
- Springer
- Year
- 2002
- Tongue
- English
- Leaves
- 516
- Edition
- 2nd
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
I didn't read the whole book yet, but I found the 2 chapters of GEE are really helpful. I actually read couple papers before, it is hard to understand. This book is written well, everything is so clearly illustrated. I also briefly looked through other chapters of the book. It is a great book for who is studying logistic regression by himself or people like me who looking for specific reference for some topic.
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<p><P>This very popular textbook is now in its third edition. Whether students or working professionals, readers appreciate its unique "lecture book" format. They often say the book reads like they are listening to an outstanding lecturer. This edition includes three new chapters, an updated compute
<p><P>This very popular textbook is now in its third edition. Whether students or working professionals, readers appreciate its unique "lecture book" format. They often say the book reads like they are listening to an outstanding lecturer. This edition includes three new chapters, an updated compute
This very popular textbook is now in its third edition. Whether students or working professionals, readers appreciate its unique "lecture book" format. They often say the book reads like they are listening to an outstanding lecturer. This edition includes three new chapters, an updated computer appe
Like previous editions, this textbook provides a highly readable description of fundamental and more advanced concepts and methods of logistic regression. It is suitable for researchers and statisticians in medical and other life sciences as well as academicians teaching second-level regression meth