Highlights
a) “Use the data in the table to assess the association between diabetes and atrial fibrillation, stratified by sex.”
b) “After using the statistical software to compute the sex-adjusted rate ratio they found that the adjusted RR was 1.51
Is sex best characterised as a confounder or an effect measure modifier of the relationship between diabetes and atrial fibrillation? Explain.”
c) “What is the attributable risk of diabetes in males?”
d) “How would you interpret the finding in 3 (c)?”
Question 4
“In a study of maternal use of hormones during pregnancy and increased risk of childhood cancer, it was suggested that women who used hormones during pregnancy would deny this use due to concern that this may have caused their child’s cancer.”
a) “What possible bias it can introduce? (explain briefly)”
b) “If so, an effect of this kind would be likely to result in an observed relative risk which is:
i) An underestimate of the true relative risk of hormone use and increased risk of cancer.
ii) An overestimate of the true increased risk.
iii) The same as the true increased risk.”
c) “In the same study, it was also observed that mothers who used hormones during their pregnancies were more likely to have had a history of medically complicated pregnancies. Further, and independent of the use of hormones, a history of medically complicated pregnancies may be associated with a subsequent increased risk of several conditions in the children, including cancer. If so, this would be an example of:
iv) The role of chance.
v) Non-differential (random) misclassification.
vi) Recall bias.
vii) Confounding.”
Explain your answer briefly
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