Can you help me connect the dots with the following:
- I am fuzzy on exactly how you can infer that at least one of the 10 interactive types is present when additive interaction is detected (slide 12 of part 5), but the same does not hold for when multiplicative interaction is detected.
- I believe it is related to the following, but can’t quite make the leap:
- Per chapter 2 in RGL, page 12, if you dig into their example with table 2-1, you understand that the following is true:
- The risk difference is the % causal types in the population when one exposure is considered
- The risk ratio is the (% doomed in the exposed + % causal in the exposed)/% doomed in the unexposed in the population when one exposure is considered
- Thus, for one exposure, the risk difference is dependent only on the causal type, whereas the risk ratio is dependent on both the causal and doomed response type.
- I assume this relates to the fact that if additive interaction is detected (risk difference scale), you can detect at least one interaction type is present, but can’t determine that based on multiplicative interaction because it must take into account the other response types as well. But I’m not quite sure if this is correct/don’t quite grasp it. Can you offer any clarity?
Thanks,
Jean