Statistical Inferences Using Maximum Likelihood Techniques

  • David G. Kleinbaum
Part of the Statistics in the Health sciences book series (SBH)


We begin our discussion of statistical inference by describing the computer information required for making inferences about the logistic model. We then introduce examples of three logistic models that we use to describe hypothesis testing and confidence interval estimation procedures. We consider models with no interaction terms first, and then we consider how to modify procedures when there is interaction. Two types of testing procedures are given, namely, the likelihood ratio test and the Wald test. Confidence interval formulae are provided that are based on large sample normality assumptions. A final review of all inference procedures is described by way of a numerical example.


Likelihood Ratio Likelihood Ratio Test Adjusted Odds Ratio Statistical Inference Wald Test 
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Copyright information

© Springer Science+Business Media New York 1994

Authors and Affiliations

  • David G. Kleinbaum
    • 1
  1. 1.Department of EpidemiologyEmory UniversityAtlantaUSA

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