Step 1 :Given that there are 2198 subjects treated with a certain drug and 22 of them reported headaches, we can calculate the proportion of headaches in the treatment group, denoted as \(p_{t}\), by dividing the number of subjects who reported headaches by the total number of subjects in the treatment group. This gives us \(p_{t} = \frac{22}{2198} = 0.010009099181073703\).
Step 2 :Similarly, given that there are 1571 subjects in the control group and 18 of them reported headaches, we can calculate the proportion of headaches in the control group, denoted as \(p_{c}\), by dividing the number of subjects who reported headaches by the total number of subjects in the control group. This gives us \(p_{c} = \frac{18}{1571} = 0.011457670273711012\).
Step 3 :We can then calculate the odds ratio, which is a measure of the strength of the effect of the drug treatment, using the formula \(\frac{p_{t}(1-p_{t})}{p_{c}(1-p_{c})}\). Substituting the values of \(p_{t}\) and \(p_{c}\) we calculated earlier, we get the odds ratio = \(\frac{0.010009099181073703(1-0.010009099181073703)}{0.011457670273711012(1-0.011457670273711012)} = 0.8748520320732456\).
Step 4 :Rounding to three decimal places, the odds ratio for the headache data is \(\boxed{0.875}\).