Add to ORKGRothman's minimal sufficient cause model can be systematically developed as a method for discussing and evaluating causation. The simplest model in terms of binary factors is developed here, including issues of parametrization, which lead to Sheps' measure of excess occurrence. Two examples show how the ideas apply in concrete cases. The notion of alternative realities is used to link population-specific equations to general causal constraints.Epidemiology Disease causation Sheps' measure
Judea Pearl (2000) was the first to propose a definition of actual causation using causal models. A ...
Abstract A possible defect in a paradigm often used in making causal inference is noted. The defect ...
This is a draft–please do not cite without permission Halpern and Hitchcock have used normality cons...
Disease can be caused by different mechanisms. A possible causal model proposed by Rothman is a comp...
The sufficient-component cause model is one of the most discussed recent theories in disease causati...
Sufficient-component causes are discussed within the potential outcome framework so as to formalize ...
Sufficient causes of disease are redundant when an individual acquires the components of two or more...
For decades, the sufficient cause model and the counterfactual model have shaped our understanding o...
Many epidemiologists are familiar with Rothman's sufficient component cause model. In this paper, I ...
Up to date, the sufficient-component cause model seems to be a theoretical framework for disease cau...
The assessment of causality is fundamental to epidemiology and biomedical sciences. One well-known a...
Abstract We propose a new definition of actual causes, using structural equations to modelcounterfac...
Sufficient cause interactions concern cases in which there is a particular causal mechanism for some...
Definitions are given for weak and strong sufficient cause interactions in settings in which the out...
Identification of causal relationships has a lot to do with control. Understanding which phenomenon ...
Judea Pearl (2000) was the first to propose a definition of actual causation using causal models. A ...
Abstract A possible defect in a paradigm often used in making causal inference is noted. The defect ...
This is a draft–please do not cite without permission Halpern and Hitchcock have used normality cons...
Disease can be caused by different mechanisms. A possible causal model proposed by Rothman is a comp...
The sufficient-component cause model is one of the most discussed recent theories in disease causati...
Sufficient-component causes are discussed within the potential outcome framework so as to formalize ...
Sufficient causes of disease are redundant when an individual acquires the components of two or more...
For decades, the sufficient cause model and the counterfactual model have shaped our understanding o...
Many epidemiologists are familiar with Rothman's sufficient component cause model. In this paper, I ...
Up to date, the sufficient-component cause model seems to be a theoretical framework for disease cau...
The assessment of causality is fundamental to epidemiology and biomedical sciences. One well-known a...
Abstract We propose a new definition of actual causes, using structural equations to modelcounterfac...
Sufficient cause interactions concern cases in which there is a particular causal mechanism for some...
Definitions are given for weak and strong sufficient cause interactions in settings in which the out...
Identification of causal relationships has a lot to do with control. Understanding which phenomenon ...
Judea Pearl (2000) was the first to propose a definition of actual causation using causal models. A ...
Abstract A possible defect in a paradigm often used in making causal inference is noted. The defect ...
This is a draft–please do not cite without permission Halpern and Hitchcock have used normality cons...