2000 AppliedLogisticRegression

From GM-RKB
Jump to navigation Jump to search

Subject Headings: Logistic Regression Algorithm,, Likelihood Ratio Test, Confidence Interval, p-Value, Stepwise Logistic Regression Algorithm.

Notes

Cited By

Quotes

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.,


 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2000 AppliedLogisticRegressionDavid W. Hosmer
Stanley Lemeshow
Applied Logistic Regression, 2nd Editionhttp://books.google.com/books?id=Po0RLQ7USIMC