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

1. State the form of the ordinal model in terms of vari-
   ables and unknown parameters.


2. For the above model, state the fitted model in terms of
   variables and estimated coefficients.


3. Compute the estimated odds ratio for a 25-year-old
   noncompliant male with a detectable viral load, who
   has progressed to AIDS, compared with a similar
   female. Consider the outcome comparison active or
   latent tuberculosis versus none (D1 vs.D<1).


4. Compute the estimated odds ratio for a 38-year-old
   noncompliant male with a detectable viral load, who
   has progressed to AIDS, compared with a similar
   female. Consider the outcome comparison active tuber-
   culosis versus latent or none (D2 vs.D<2).


5. Estimate the odds of a compliant 20-year-old female,
   with an undetectable viral load and who has not pro-
   gressed to AIDS, of having active tuberculosis (D2).


6. Estimate the odds of a compliant 20-year-old female,
   with an undetectable viral load and who has not pro-
   gressed to AIDS, of having latent or active tuberculosis
   (D1).


7. Estimate the odds of a compliant 20-year-old male,
   with an undetectable viral load and who has not pro-
   gressed to AIDS, of having latent or active tuberculosis
   (D1).


8. Estimate the odds ratio for noncompliance vs. compli-
   ance. Consider the outcome comparison active tuber-
   culosis vs. latent or no tuberculosis (D2 vs.D<2).

486 13. Ordinal Logistic Regression