Search results
Jun 8, 2017 · Conversely, there is an antagonistic interaction between exposures, when the joint effect is less than the sum of their individual effects. This is in contrast to effect modification, where the effect of an exposure on an outcome is assessed in different strata of a third variable, but a joint effect is not assessed.
Jan 1, 2009 · Effect modification, also called interaction or synergy, is the concept that the size of an effect or association differs according to another factor. The presence of effect modification implies that different groups of people respond differently to a particular exposure or treatment. Another example of effect modification is presented below.
Jun 1, 2021 · A further difference between interaction and effect modification is that the secondary exposure usually is a modifiable factor (e.g., a treatment or lifestyle factor) that can potentially be intervened upon to influence the causal effect of the primary exposure [21, 23, 26, 35, 39, 40, 42, 43]. Two exposures can interact in a variety of ways ...
May 19, 2020 · What is effect measure modification, and why should I care? Effect measure modification occurs when the association between two variables differs based on the level of another factor (known as the effect modifier). For instance, consider the data presented in Table IV. In these data, the effect of sedentary behavior on conception probability ...
The second type of analysis focuses on effect modification, where the analyst investigates whether the effect of a single treatment varies across levels of a baseline covariate. While both forms of interaction analysis are typically conducted using the same type of statistical model, the identification assumptions for these two types of ...
Sep 29, 2014 · For the second phenomenon, effect modification means that the mechanism of effect differs with background variables, which is known in the biomedical literature as dependent action or (again) interaction. The two phenomena are often confused, as reflected by the use of the same terms ( effect modification and interaction) for both.
Evidence for effect modification therefore helps to delineate applicability of an intervention, showing in whom the treatment is most likely to work and thus indicative of an RCT's external validity. In this article, we provide a concise and nontechnical explanation of simple statistical tests for interaction to identify effect modifiers in RCTs.
