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

6. State the logit form of Model 1 in terms of the mean
   response of theith subject.


7. Use Model 1 to estimate the odds ratios for RX (active
   vs. standard treatment).


8. Use Model 2 to estimate the odds ratio and 95% confi-
   dence intervals for RX.


9. How does the interpretation of the odds ratio for RX
   using Model 2 compare to the interpretation of the odds
   ratio for RX using a GEE model with the same covari-
   ates (see Model 2 in the Test questions of Chap. 15)?


10. Explain why the parameter for SEQUENCE cannot be
    estimated in a conditional logistic regression using
    subject as the matching factor.

596 16. Other Approaches for Analysis of Correlated Data