Logistic regression : a self-learning text
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 com...
Kaydedildi:
| Asıl Yazarlar: | , |
|---|---|
| Materyal Türü: | Livre numérique |
| Dil: | Anglais |
| Baskı/Yayın Bilgisi: |
New York, NY :
Springer New York : Imprint: Springer
[20..].
Cham : Springer Nature |
| Edisyon: | 3rd ed. 2010. |
| Seri Bilgileri: | Statistics for Biology and Health
|
| Online Erişim: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Not: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Logistic regression, a self-learning text, David G. Kleinbaum, Mitchel Klein, Third edition, 2010, New-York, Springer, 1 vol. (XVII-701 p.), Statistics for biology and health, 978-1-441-91741-6 |
İçindekiler:
- to Logistic Regression Important Special Cases of the Logistic Model Computing the Odds Ratio in Logistic Regression Maximum Likelihood Techniques: An Overview Statistical Inferences Using Maximum Likelihood Techniques Modeling Strategy Guidelines Modeling Strategy for Assessing Interaction and Confounding Additional Modeling Strategy Issues Assessing Goodness of Fit for Logistic Regression Assessing Discriminatory Performance of a Binary Logistic Model: ROC Curves Analysis of Matched Data Using Logistic Regression Polytomous Logistic Regression Ordinal Logistic Regression Logistic Regression for Correlated Data: GEE GEE Examples Other Approaches for Analysis of Correlated Data