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

被引:0
|
作者
Lee, Wen-Chung [1 ,2 ]
机构
[1] Natl Taiwan Univ, Coll Publ Hlth, Res Ctr Genes Environm & Human Hlth, Rm 536,17,Xuzhou Rd, Taipei 100, Taiwan
[2] Natl Taiwan Univ, Coll Publ Hlth, Inst Epidemiol & Prevent Med, Rm 536,17,Xuzhou Rd, Taipei 100, Taiwan
来源
BMC MEDICAL RESEARCH METHODOLOGY | 2017年 / 17卷
关键词
Sufficient component cause model; Epidemiologic methods; Causal inference; Interaction; Identifiability; MODEL;
D O I
10.1186/s12874-017-0348-y
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
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.
引用
收藏
页码:1 / 6
页数:6
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