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...

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Bibliographic Details
Main Author: Hosmer, David W. (συγγραφέας.)
Other Authors: Lemeshow, Stanley (συγγραφέας.)
Format: eBook
Language:English
Published: New York : Wiley, c2000.
Edition:2η έκδ.
Series:Wiley series in probability and statistics Texts and references section
Subjects:
Online Access:http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=99027
Table of Contents:
  • 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.