Calculate Relative Risk with 95% CI from two-way table

[frederik baumgermany]

Hello,
i have to variables (sex (male/female) & hypertens) and would like to calculate the 95% CI of the Relative Risk comparing female and male for hypertens. First I did a two-way table of both variables:

 tab hypertens sex, row chi

Is there now a way to calculate the CI of Relative Risk (positive male / positive female) with the stored results in r from the tab command above? I tried a few ways and could not figure it out.
Thank you very much for your help!

* Example generated by -dataex-. To install: ssc install dataex
clear
input float(sex_num hypertens)
1 0
1 1
0 0
1 0
1 0
0 0
0 0
0 0
1 0
1 1
0 0
0 1
1 0
1 1
1 0
0 1
0 0
0 0
1 1
1 0
0 1
0 0
1 1
1 0
0 0
0 0
0 0
0 1
1 1
1 1
0 0
1 0
0 1
1 0
1 1
1 0
1 0
1 1
0 0
end
label values sex_num sex_num
label def sex_num 0 "female", modify
label def sex_num 1 "male", modify

[Maarten Buis]

What do you mean with "Relative Risk (positive male / positive female)". I would interpret your formula as meaning the number of positive males divided by the number of positive females, but that just gives the risk of being male given that someone is positive. But that is a risk and not a relative risk, and of all the risk you could compute, probably the least interesting one. So I assume I am misinterpreting your formula. Can you give us the full formula with a full description of the used symbols

[Maarten Buis]

Also, have you looked at help epitab? This contains many commands in this area.

[frederik baumgermany]

Thanks for your answer and the epitap option. I think I misstiped Relative Risk. Epitap is great for cacultation of Relative Risk. The question is how to calculate Relative Frequency with 95% CI for male and female?

[Maarten Buis]

help proportion

[frederik baumgermany]

Thank you very much, that is what I look for!!