To see accurate pricing, please choose your delivery country.
United States
All Shops

British Wildlife

8 issues per year 84 pages per issue Subscription only

British Wildlife is the leading natural history magazine in the UK, providing essential reading for both enthusiast and professional naturalists and wildlife conservationists. Published eight times a year, British Wildlife bridges the gap between popular writing and scientific literature through a combination of long-form articles, regular columns and reports, book reviews and letters.

Subscriptions from £33 per year

Conservation Land Management

4 issues per year 44 pages per issue Subscription only

Conservation Land Management (CLM) is a quarterly magazine that is widely regarded as essential reading for all who are involved in land management for nature conservation, across the British Isles. CLM includes long-form articles, events listings, publication reviews, new product information and updates, reports of conferences and letters.

Subscriptions from £26 per year
Academic & Professional Books  Reference  Data Analysis & Modelling  Data Analysis & Statistics

Logistic Regression A Self-Learning Text

By: David G Kleinbaum and Mitchel Klein
616 pages
Publisher: Springer Nature
Logistic Regression
Click to have a closer look
  • Logistic Regression ISBN: 9781441917416 Edition: 3 Hardback Jul 2010 Not in stock: Usually dispatched within 1-2 weeks
Price: £129.99
About this book Contents Customer reviews Related titles

About this book

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 appendix, and an expanded section about modeling guidelines that consider causal diagrams.

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 methods courses.

The new chapters are:

- Additional Modeling Strategy Issues, including strategy with several exposures, screening variables, collinearity, influential observations and multiple-testing
- Assessing Goodness to Fit for Logistic Regression
- Assessing Discriminatory Performance of a Binary Logistic Model: ROC Curves

The Computer Appendix provides step-by-step instructions for using STATA (version 10.0), SAS (version 9.2), and SPSS (version 16) for procedures described in the main text.


Preface xiii
Acknowledgements xvii

Chapter 1 Introduction to Logistic Regression 1
Chapter 2 Important Special Cases of the Logistic Model 41
Chapter 3 Computing the Odds Ratio in Logistic Regression 73
Chapter 4 Maximum Likelihood Techniques: An Overview 103
Chapter 5 Statistical Inferences Using Maximum Likelihood Techniques 129
Chapter 6 Modeling Strategy Guidelines 165
Chapter 7 Modeling Strategy for Assessing Interaction and Confounding 203
Chapter 8 Additional Modeling Strategy Issues 241
Chapter 9 Assessing Goodness of Fit for Logistic Regression 301
Chapter 10 Assessing Discriminatory Performance of a Binary Logistic Model: ROC Curves 345
Chapter 11 Analysis of Matched Data Using Logistic Regression 389
Chapter 12 Polytomous Logistic Regression 429
Chapter 13 Ordinal Logistic Regression 463
Chapter 14 Logistic Regression for Correlated Data: GEE 489
Chapter 15 GEE Examples 539
Chapter 16 Other Approaches for Analysis of Correlated Data 567

Appendix Computer Programs for Logistic Regression 599
Test Answers 667
Bibliography 691
Index 695

Customer Reviews

By: David G Kleinbaum and Mitchel Klein
616 pages
Publisher: Springer Nature
Current promotions
New and Forthcoming BooksNHBS Moth TrapBritish Wildlife MagazineBuyers Guides