Sharp bounds on sufficient-cause interactions under the assumption of no redundancy.

BACKGROUND: Sufficient-cause interaction is a type of interaction that has received much attention recently. The sufficient component cause model on which the sufficient-cause interaction is based is however a non-identifiable model. Estimating the interaction parameters from the model is mathematically impossible.

METHODS: In this paper, I derive bounding formulae for sufficient-cause interactions under the assumption of no redundancy.

RESULTS: Two real data sets are used to demonstrate the method (R codes provided). The proposed bounds are sharp and sharper than previous bounds.

CONCLUSIONS: Sufficient-cause interactions can be quantified by setting bounds on them.