Exact(4)
33 They are grounded by the generative model of causality, meaning that to infer a causal relationship between an intervention and an outcome, the mechanism s), the context, and the interaction between them must be understood.
Navigating a lively intellectual voyage between the shoals of strict reductionism and relativism, Rabins maps a three-facet model of causality and applies it to a variety of questions in science, medicine, economics, and more.
The paradigm shift that occurred as researchers and practitioners moved from a single agent model of causality to a multiple risk factor model in which independent causes may work synergistically to contribute to disease states is beyond the scope of this paper.
The difficulty to corroborate the messenger paradigm in human clinical studies may also relate to the fact that the linear model of causality generally assumed to reflect the relation between genome variability, expression and phenotype may be too simplistic to account for a much more complex biological reality.
Similar(56)
Key lessons include the need to develop skills to understand program mechanisms and contexts, recognize multiple models of causality, apply mixed method designs, and ensure the successful scaling up and spread of an intervention.
Arguing that traditional models of causality are inadequate, Leveson presents a new, extended model of causation (Systems-Theoretic Accident Model and Processes, or STAMP), then shows how the new model can be used to create techniques for system safety engineering, including accident analysis, hazard analysis, system design, safety in operations, and management of safety-critical systems.
Many of the developments in cognitive neuroscience have been shaped by the introduction of novel tools and methodologies, and a new section is devoted to methods that promise to guide the field into the future from sophisticated models of causality in brain function to the application of network theory to massive data sets.
Linear and non-linear innovation, and the causality of 'if-then' and of 'if-if' relations: The hybrid overlapping of linear innovation and of non-linear innovation displays also possible ramifications and draws associations to models of causality and their re-modeling.
Unidirectional models of causality are inadequate to explain the effect of cardiac surgery on overall QoL.
The present analysis demonstrates that unidirectional models of causality are inadequate to explain the effect of heart surgery on overall quality of life.
We therefore explore different models of causality in the epidemiology of disease arising out of genes, environments, and the interplay between environments and genes.
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