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

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HT variable. Such a test is also inappropriate because
AGE is a potential confounder, and confounding
should not be assessed by statistical testing.


  1. A hierarchical backward elimination procedure for
    the model in Exercise 3 would involve first assessing
    interaction involving the four interaction terms and
    then considering confounding involving the four
    potential confounders. The interaction assessment
    could be done using statistical testing, whereas the
    confounding assessment should not use statistical
    testing. When considering confounding, any
    Vvariable that is a lower order component of a
    significant interaction term must remain in all further
    models and is not eligible for deletion as a
    nonconfounder. A test for any of these latterVsis
    inappropriate because such a test would be dependent
    on the coding of any variable in the model.

  2. If HTCT and HTSEX are found significant, then
    theVvariables CT and SEX cannot be removed from
    the model and must, therefore, be retained in all
    further models considered. The HT variable remains
    in all further models considered because it is the
    exposure variable of interest. CT and SEX are lower
    order components of higher order interaction terms.
    Therefore, it is not apropriate to test for their
    inclusion in the model.

  3. At the end of the interaction assessment stage, the
    remaining model is given by
    logit PðXÞ¼aþbHTþg 1 HSþg 2 CTþg 3 AGEþg 4 SEX
    þd 2 HTCTþd 4 HTSEX:


202 6. Modeling Strategy Guidelines

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