Variable Abbreviation Coding
Type of hospital HT 1 ¼public, 0¼private
Size of hospital HS 1 ¼large, 0¼small
Degree of
contamination
CT 1 ¼contaminated,
0 ¼clean
Age AGE continuous
Sex SEX 1 ¼female, 0¼male
- State the logit form of a no interaction model that
includes all of the above predictor variables. - State the logit form of a model that extends the model
of Exercise 1 by adding all possible pairwise products
of different variables. - Suppose you want to carry out a (global) test for
whether any of the two-way product terms (considered
collectively) in your interaction model of Exercise 2 are
significant. State the null hypothesis, the form of the
appropriate (likelihood ratio) test statistic, and the dis-
tribution and degrees of freedom of the test statistic
under the null hypothesis of no interaction effects in
your model of Exercise 2.
Suppose the test for interaction in Exercise 3 is nonsignif-
icant, so that you felt justified to drop all pairwise products
from your model. The remaining model will, therefore,
contain only those variables given in the above listing.
- Consider a test for the effect of hospital type (HT)
adjusted for the other variables in the no interaction
model. Describe the likelihood ratio test for this effect
by stating the following: the null hypothesis, the for-
mula for the test statistic, and the distribution and
degrees of freedom of the test statistic under the null
hypothesis. - For the same question as described in Exercise 4, that
is, concerning the effect of HT controlling for the other
variables in the model, describe the Wald test for this
effect by providing the null hypothesis, the formula for
the test statistic, and the distribution of the test statistic
under the null hypothesis. - Based on the study description preceding Exercise 1,
do you think that the likelihood ratio and Wald test
results will be approximately the same? Explain. - Give a formula for a 95% confidence interval for the
odds ratio describing the effect of HT controlling for
the other variables in the no interaction model.
Practice Exercises 157