when the effect of one variable (or factor) is not the same at each level of the other variable (or factor).
the situation in which a treatment contrast (for example, difference between investigational product and control) is dependent on another factor (for example, centre). A quantitative interaction refers to the case where the magnitude of the contrast differs at the different levels of the factor, whereas for a qualitative interaction the direction of the contrast differs for at least one level of the factor
factors interact when the effects of one factor differ from one level to the next of another factor
The effects of two or more elements, parts, assemblies, or equipments on each other - where each is performing a function.
The effect of two factors jointly on an outcome variable. It is the variation among the differences between means for different levels of one factor over different levels of the other factor. Can be illustrated by a plot of the means of the outcome plotted separately for each level of one factor against levels of the other factor. Interaction is present if the lines joining the means are not sufficiently parallel, allowing for data variation.
A situation in a factorial design in which the effects of one independent variable depend upon the level of another independent variable.
An interaction occurs when the effects of two or more variables (in a regression analysis) or two or more factors (in an analysis of varaince) are not independent of each other. For example, you may find that the effect of a treatment is not the same different sexes.
(physics) the transfer of energy between elementary particles or between an elementary particle and a field or between fields; mediated by gauge bosons
a combination of two or more factors where the joint effect of these factors is not equal to the sum of the individual effects
an actual change and can determine changed particles and a changed space-time grid from itself, both forward and backward in time
a synergy between two or more variables, and reflects the fact that their combined effect on a response not only depends on the level of the individual variables, but their combined levels as well
In reference to a model involving several explanatory variables, the property that the effect of one variable is itself affected by the values of another variable. When both explanatory variables are binary, an interaction can be described as a difference of differences.
Modification of the toxic effects of one substance by another. Depending on the substances involved, the effects of interaction can be amplified or mitigated.
Also known as effect modification or modulation; a situation in which the strength of association between one variable and an outcome is affected by another variable; to be distinguished from confounding, in which an association between a variable and an outcome is only a reflection of the association between another variable with the index variable and with outcome.
The effect that one organism has on another or the effect that the environment has on an organism.
A situation in which the direction and/or magnitude of the relationship between two variables depends on (i.e., differs according to) the value of one or more other variables. When interaction is present, simple additive techniques are inappropriate; hence interaction is sometimes thought of as absence of additivity. Synonyms: nonadditivity, conditioning effect, moderating effect, contingency effect. See also PATTERN VARIABLE, PRODUCT VARIABLE.
A statistical term indicating the change in the effect of each independent variable as a function of other independent variables.
attraction or repulsion within or between different particles or particles of the same kind
( Stat.). The extent to which the effect of one factor (or treatment) varies with changes in the strength, grade or level of other factors in an experiment. ( BCFT.).
A side effect from the use of more than one drug or dietary supplement.
A process in which a particle decays or it responds to a force due to the presence of another particle (as in a collision). Also used to mean the underlying property of the theory that causes such effects.
The combined effect of two factors observed over and above the singular effect of each factor against the level the other factor. A significant interaction indicates that the effect of each factor on the response changes depending on the value of the other factor.
Side effect resulting from concurrent use of multiple drugs or dietary supplements. The result may be antagonism (counteracting) or synergism (amplifying) and consequently may be adverse in some cases.
Another term for any side effects from the simultaneous use of a number of differing dietary supplements. These can take form by either lessening or increasing the measured and actual effects of any of the parts involved. This interaction may or may not be harmful.
A relationship between two independent variables such that they have a different effect on the dependent variable; i.e., the effect of one level of a factor A depends on the level of factor B.
A situation in which the effect of one explanatory variable on the outcome is affected by the value of a second explanatory variable. In a trial, a test of interaction examines whether the treatment effect varies across subgroups of participants. See also Subgroup analysis.
Two independent variables interact when changes in the value of one change the effect on the dependent variable of the other.
A process in which a particle decays or it responds to a force due to the presence of another particle (as in a collision). The four fundamental interactions are gravitational, electromagnetic, strong, and weak. [ ] [ Close Glossary
Interaction is a kind of action that occurs as two or more objects have an effect upon one another. The idea of a two-way effect is essential in the concept of interaction, as opposed to a one-way causal effect. Combinations of many simple interactions can lead to surprising emergent phenomena.
In statistics, an interaction is a term in a statistical model in which the effect of two, or more, variables is not simply additive.