Causal interactions refer to settings in which there are persons for whom the outcome would occur (by a certain time) if both exposures were present but for whom the outcome would not occur if only one of the two exposures were present.
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A connection exists when one gene is known to control another gene. The exact nature (inhibition or activation) and the direction of control may or may not be ...
Examples of causal interaction · The causal interaction between ingredients of these aggregates and throughout the temporal sequence of them is complex indeed.
In this article, we propose a robust methodology for detecting the latent and elusive structure of dynamic complex systems.
Apr 21, 2020 · A causal interaction captures the case where the effect of the two treatments together is different from the effect of the two treatments ...
In this paper we present two design guidelines, causal order and continuity, to be used as rules of thumb for designing intuitive interactions based on ...
Oct 5, 2015 · We demonstrate the ability to identify different time-delayed interactions, distinguish between synchrony induced by strong unidirectional-forcing and true ...
A primary goal of causal interaction analysis is to identify the combinations of treatments that induce large additional effects beyond the sum of effects ...
The paper relates estimation and testing for additive interaction in proportional hazards models to causal interactions within the counterfactual framework.
Interaction effects play an essential role in making causal inferences, and evaluating the AMTIE allows for evaluation of interaction effects in high dimension, ...