Again assuming a follow-up study, compute the
estimated risk for a 40-year-old male nonsmoker
with CHOL¼200 and OCC¼1. (You need a
calculator to answer this question.)
Compute and interpret the estimated risk ratio that
compares the risk of a 40-year-old male smoker to a
40-year-old male nonsmoker, both of whom have
CHOL¼200 and OCC¼1.
Would the risk ratio computation of Question 27 have
been appropriate if the study design had been either
cross-sectional or case-control? Explain.
Compute and interpret the estimated odds ratio for
the effect of SMK controlling for AGE, SEX, CHOL,
and OCC. (If you do not have a calculator, just state
the computational formula required.)
What assumption will allow you to conclude that the
estimate obtained in Question 29 is approximately a
risk ratio estimate?
If you could not conclude that the odds ratio
computed in Question 29 is approximately a risk
ratio, what measure of association is appropriate?
Explain briefly.
Compute and interpret the estimated odds ratio for
the effect of OCC controlling for AGE, SMK, SEX, and
CHOL. (If you do not have a calculator, just state the
computational formula required.)
State two characteristics of the variables being
considered in this example that allow you to use the
exp(bi) formula for estimating the effect of OCC
controlling for AGE, SMK, SEX, and CHOL.
Why can you not use the formula exp(bi) formula to
obtain an adjusted odds ratio for the effect of AGE,
controlling for the other four variables?
