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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 mathematic...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5399844/ https://www.ncbi.nlm.nih.gov/pubmed/28431517 http://dx.doi.org/10.1186/s12874-017-0348-y |
Sumario: | 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12874-017-0348-y) contains supplementary material, which is available to authorized users. |
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