Add to ORKGSufficient-component causes are discussed within the potential outcome framework so as to formalize notions of sufficient causes, synergism and sufficient cause interactions. Doing so allows for the derivation of counterfactual conditions and statistical tests for detecting the presence of sufficient cause interactions. Under the assumption of monotonic effects, more powerful statistical tests for sufficient cause interactions can be derived. The statistical tests derived for sufficient cause interactions are compared with and contrasted to interaction terms in standard statistical models
Rothman's minimal sufficient cause model can be systematically developed as a method for discussing ...
Sufficient causes of disease are redundant when an individual acquires the components of two or more...
Up to date, the sufficient-component cause model seems to be a theoretical framework for disease cau...
A sufficient cause interaction between two exposures signals the presence of individuals for whom th...
Sufficient cause interactions concern cases in which there is a particular causal mechanism for some...
The definitions of a biologic interaction and causal interdependence are reconsidered in light of a ...
For decades, the sufficient cause model and the counterfactual model have shaped our understanding o...
Definitions are given for weak and strong sufficient cause interactions in settings in which the out...
The assessment of causality is fundamental to epidemiology and biomedical sciences. One well-known a...
A mathematical model of the sufficient-component cause framework is considered based on the theories...
The sufficient-component cause model is one of the most discussed recent theories in disease causati...
The aim of this thesis is to develop and explore models in, and related to, the sufficient cause fra...
Causal inference requires an understanding of the conditions under which association equals causatio...
Abstract Background Sufficient-cause interaction is a type of interaction that has received much att...
Methods to assess sufficient cause interactions are well developed for binary outcomes. We extend th...
Rothman's minimal sufficient cause model can be systematically developed as a method for discussing ...
Sufficient causes of disease are redundant when an individual acquires the components of two or more...
Up to date, the sufficient-component cause model seems to be a theoretical framework for disease cau...
A sufficient cause interaction between two exposures signals the presence of individuals for whom th...
Sufficient cause interactions concern cases in which there is a particular causal mechanism for some...
The definitions of a biologic interaction and causal interdependence are reconsidered in light of a ...
For decades, the sufficient cause model and the counterfactual model have shaped our understanding o...
Definitions are given for weak and strong sufficient cause interactions in settings in which the out...
The assessment of causality is fundamental to epidemiology and biomedical sciences. One well-known a...
A mathematical model of the sufficient-component cause framework is considered based on the theories...
The sufficient-component cause model is one of the most discussed recent theories in disease causati...
The aim of this thesis is to develop and explore models in, and related to, the sufficient cause fra...
Causal inference requires an understanding of the conditions under which association equals causatio...
Abstract Background Sufficient-cause interaction is a type of interaction that has received much att...
Methods to assess sufficient cause interactions are well developed for binary outcomes. We extend th...
Rothman's minimal sufficient cause model can be systematically developed as a method for discussing ...
Sufficient causes of disease are redundant when an individual acquires the components of two or more...
Up to date, the sufficient-component cause model seems to be a theoretical framework for disease cau...