Chapter 9. Logistic Regression

  1. Chap T. Le Distinguished Professor of Biostatistics Director of Biostatistics

Published Online: 20 MAY 2003

DOI: 10.1002/0471308889.ch9

Introductory Biostatistics

Introductory Biostatistics

How to Cite

Le, C. T. (2003) Logistic Regression, in Introductory Biostatistics, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/0471308889.ch9

Author Information

  1. Comprehensive Cancer Center, University of Minnesota, USA

Publication History

  1. Published Online: 20 MAY 2003
  2. Published Print: 21 MAR 2003

ISBN Information

Print ISBN: 9780471418160

Online ISBN: 9780471308881

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Keywords:

  • regression;
  • logistic regression;
  • measure of association;
  • effect of measurement scale;
  • simple regression;
  • multiple regression;
  • ROC curve;
  • effect modification;
  • polynomial regression;
  • ordinal logistic model;
  • stepwise regression

Summary

The purpose of many research projects is to assess relationships among a set of variables and regression techniques often used as statistical analysis tools in the study of such relationships. In this chapter we discuss the basic ideas of simple regression analysis when only one predictor or independent variable is available for predicting the response of interest. In the interpretation of the primary parameter of our model, we discuss both scales of measurements, discrete and continuous, even though in most practical applications, the independent variable under investigation is often on a continuous scale. A problem solving section appears at the end of the chapter.