Multiplicative Interaction

Lead Author(s): Jeff Martin, MD

Definition of Multiplicative Interaction

When there is interaction in terms of the ratio measure of association, we call this multiplicative interaction.

When there is interaction in terms of the difference measure of association or the risk difference, we call it an additive interaction.

Example of Multiplicative Interaction

In the Stanton example with smoking, caffeine use, and delayed conception below 0413_4multi.JPG

Assessment of Whether Interaction Is Present

Assessment of whether interaction is present depends upon the measure of association:

(1) Ratio measures ( multiplicative interaction)

(2) Difference measures (additive interaction)

So, when talking about interaction, we have to be precise about whether we are talking about interaction of ratio measures (i.e., multiplicative interaction) or interaction of differences measures (i.e., additive interaction) or both. That’s why some like to call this effect-measure modification, because whether or not interaction is occurring depends upon the measure of association in question.

Presence of Multiplicative Interaction - Absence of Additive Interaction

Absence of additive interaction (when an effect is truly present) 0413_7mult_noadd.JPG

Here, the risk difference is 0.1 in both strata of the third variable.

The risk ratio differs between strata (1.7 and 3.0) -- multiplicative interaction is present.

Presence of Multiplicative Interaction - May Have Additive Interaction

The presence of multiplicative interaction may or may not be accompanied by additive interaction. 0413_9noadd.JPG
In the graph below, there is again multiplicative interactive, (RR 3.0 and RR 2.0)


Presence of Qualitative Multiplicative Interaction = Qualitative Additive Interaction

Presence of qualitative multiplicative interaction is always accompanied by qualitative additive interaction.


An example can be found in Stanton's Study of caffeine use, smoking, and delayed concenception.

Choosing Multiplicative Measures

Which do you want to use: mulitiplicative versus additive measures?

Multiplicative measures (e.g., risk ratio) In brief, multiplicative measures of association are useful for looking at causality and additive for public health impact. There’s no need to look for additive interaction if indeed the risk ratio is the right measure of association for you.