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

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Model 1:

Model 2:


  1. For each of the above models, state the form of the
    estimated model in logit terms.


Model 1: logit P(X)¼

Model 2: logit P(X)¼


  1. Using Model 1, compute the estimated risk for CVD
    death (i.e., CVD¼1) for a high social class (SOC¼1)
    smoker (SMK¼1) with SBP¼150. (You will need a
    calculator to answer this. If you do not have one, just
    state the computational formula that is required, with
    appropriate variable values plugged in.)

  2. Using Model 2, compute the estimated risk for CVD
    death for the following two persons:
    Person 1: SOC¼1, SMK¼1, SBP¼150.
    Person 2: SOC¼0, SMK¼1, SBP¼150.
    (As with the previous question, if you do not have a
    calculator, you may just state the computations that are
    required.)


Person 1:

Person 2:


  1. Compare the estimated risk obtained in Exercise 3 with
    that for person 1 in Exercise 4. Why are not the two
    risks exactly the same?

  2. Using Model 2 results, compute the risk ratio that
    compares person 1 with person 2. Interpret your
    answer.

  3. If the study design had been either case-control or
    cross-sectional, could you have legitimately computed
    risk estimates as you did in the previous exercises?
    Explain.


Practice Exercises 33
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