Applied Logistic RegressionA new edition of the definitive guide to logistic regression modeling for health science and other applications This thoroughly expanded Third Edition provides an easily accessible introduction to the logistic regression (LR) model and highlights the power of this model by examining the relationship between a dichotomous outcome and a set of covariables. Applied Logistic Regression, Third Edition emphasizes applications in the health sciences and handpicks topics that best suit the use of modern statistical software. The book provides readers with state-of-the-art techniques for building, interpreting, and assessing the performance of LR models. New and updated features include:
Applied Logistic Regression, Third Edition is a must-have guide for professionals and researchers who need to model nominal or ordinal scaled outcome variables in public health, medicine, and the social sciences as well as a wide range of other fields and disciplines. |
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LibraryThing Review
User Review - bluetyson - LibraryThingA good book that certainly has practical application. It details the rise in use of this particular technique, and where it is applicable. Also details multiple varieties including multinomial and others. This is definitely a mathematics text that is worth the time to take a look at. Read full review
Contents
Logistic Regression Models for the Analysis of Correlated Data | 9 |
The Multiple Logistic Regression Model | 35 |
Interpretation of the Fitted Logistic Regression Model | 49 |
ModelBuilding Strategies and Methods for Logistic Regression | 89 |
Assessing the Fit of the Model | 153 |
5 | 175 |
Application of Logistic Regression with Different Sampling | 227 |
Logistic Regression for Matched CaseControl Studies | 243 |
9 | 351 |
243 | 355 |
Exercises 456 | 368 |
Exercises | 375 |
References | 395 |
Index | 419 |
269 | 431 |
377 | 475 |
Other editions - View all
Applied Logistic Regression David W. Hosmer, Jr.,Stanley Lemeshow,Rodney X. Sturdivant Limited preview - 2013 |