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

(vip2019) #1
comparing confidence intervals for the odds ratio. If a
meaningful gain of precision is made by dropping a
nonconfounder, then such a nonconfounder may be
dropped. Otherwise (i.e., no gain in precision), the
nonconfounder should remain in the model with all
other variables needed for controlling confounding.


  1. 1

  2. 1

  3. 2

  4. 1

  5. 2

  6. Unpooled; the analysis treats all five strata (matched
    pairs) as unique.

  7. 2.5

  8. Pooled.

  9. Pooled; treating the five strata as unique is artificial
    since there are exchangeable strata that should be
    pooled.

  10. W¼1,X¼1,Y¼0, andZ¼2.

  11. mOR(unpooled)¼undefined; mOR(pooled)¼2.5.

  12. Only choice a is correct.


428 11. Analysis of Matched Data Using Logistic Regression

Free download pdf