Applied logistic regression
In this revised and updated edition, the authors continue to provide an accessible introduction to the logistic regression model while incorporating advances of the last decade, including a variety of software packages for the analysis of data sets. They extend the discussion from biostatistics and epidemiology to cutting-edge applications in data mining and machine learning, guiding readers step-by-step through the use of modeling techniques for dichotomous data in diverse fields. Ample new topics and expanded discussions of existing material are accompanied by real-world examples-with extensive data sets available over the Internet
1 online resource (xii, 375 pages) : illustrations
9780471654025, 9780471722144, 9780471673804, 9780471356325, 0471654027, 0471722146, 0471673803, 0471356328
53371671
Introduction to the logistic regression model
Multiple logistic regression
Interpretation of the fitted logistic regression model
Model-building strategies and methods for logistic regression
Assessing the fit of the model
Application of logistic regression with different sampling models
Logistic regression for matched case-control studies
Special topics
English
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