Am working on this practice learning model: I have a data that can be used to estimate the effects of two genes on cancer incidence. Assume these data were obtained from a large prospective cohort study. It can be assumed that the sample was taken from a genetically homogenous population and thus confounding is not an issue. How can I present the evidence for interaction as suggested by Knol and VandeWeele (2012) in table form. First, I thought about creating a dummy variable in sas but I don't know the code for interaction for a dichotomous variable.
This is my sample data:
ID | GeneA | GeneB | Cancer |
1 | 0 | 1 | 1 |
2 | 0 | 0 | 1 |
3 | 0 | 0 | 0 |
4 | 0 | 0 | 0 |
5 | 0 | 1 | 0 |
6 | 0 | 0 | 0 |
7 | 0 | 0 | 0 |
8 | 0 | 0 | 0 |
9 | 0 | 0 | 1 |
10 | 0 | 1 | 0 |
11 | 1 | 0 | 0 |
12 | 0 | 0 | 0 |
13 | 0 | 1 | 0 |
14 | 1 | 0 | 0 |
15 | 1 | 0 | 0 |
16 | 0 | 0 | 0 |
17 | 0 | 1 | 0 |
18 | 0 | 1 | 0 |
19 | 1 | 1 | 1 |