Logistic Regression: A Self-learning Text, Third Edition (Statistics in the Health Sciences)

Objectives Upon completion of this chapter, the learner should be
able to:

1. State thenull hypothesisfor testing the significance of a
   collection of one or more variables in terms of
   regression coefficients of a given logistic model.


2. Describe how to carry out alikelihood ratio testfor the
   significance of one or more variables in a given logistic
   model.


3. Use computer information for a fitted logistic model to
   carry out a likelihood ratio test for the significance of
   one or more variables in the model.


4. Describe how to carry out aWald testfor the
   significance of a single variable in a given logistic
   model.


5. Use computer information for a fitted logistic model to
   carry out a Wald test for the significance of a single
   variable in the model.


6. Describe how to compute a95% confidence intervalfor
   an odds ratio parameter that can be estimated from a
   given logistic model when
   a. The model contains no interaction terms
   b. The model contains interaction terms


7. Use computer information for a fitted logistic model to
   compute a 95% confidence interval for an odds ratio
   expression estimated from the model when
   a. The model contains no interaction terms
   b. The model contains interaction terms

Objectives 131