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AI-woordenlijst

Het complete woordenboek van kunstmatige intelligentie

162
categorieën
2.032
subcategorieën
23.060
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Mediator

Intermediate variable that transmits the effect of an independent variable to a dependent variable, representing the underlying mechanism by which the cause produces its effect.

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Indirect Effect

Portion of the total effect of an independent variable on a dependent variable that passes through the mediator(s), quantifying the mediated influence in the causal model.

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Direct Effect

Effect of an independent variable on a dependent variable that is not transmitted by mediators included in the model, representing the direct causal influence or unobserved mechanisms.

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Total Effect

Sum of the direct effect and the indirect effect, representing the overall influence of an independent variable on a dependent variable, including all possible causal pathways.

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Sobel Test

Statistical test used to assess the significance of the indirect mediation effect by calculating a ratio of the indirect effect to its standard error, assuming a normal distribution.

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Bootstrap in Mediation

Non-parametric resampling method for estimating confidence intervals of the mediation effect without assuming a normal distribution, particularly useful for small samples.

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Multiple Mediation

Mediation model involving multiple mediators simultaneously, which can be parallel (independent) or sequential (chained), allowing analysis of complex mechanisms.

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Moderator Variable

Variable that modifies the strength or direction of the relationship between two other variables, distinguished from a mediator which explains the mechanism of this relationship.

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Mediation Confounder

Variable that influences both the mediator and the dependent variable, potentially biasing the estimation of the mediation effect if not properly controlled in the analysis.

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Directed Acyclic Graph

Graphical representation of causal relationships between variables where arrows indicate the direction of influence and the absence of cycles ensures the consistency of the causal model.

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Sequential Mediation

Mediation analysis involving a chain of mediators where each mediator influences the next, allowing examination of complex causal mechanisms and stepwise processes.

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Natural Direct Effect

Direct causal effect that keeps the mediator at its natural value under the reference treatment, distinguishing counterfactual interpretations of direct effects.

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Natural Indirect Effect

Portion of the total causal effect that operates through the change in the mediator induced by the treatment, while holding other system characteristics constant.

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Mediation Sensitivity

Analysis evaluating how mediation effect estimates would change in the presence of unmeasured confounders, quantifying the robustness of mediation conclusions.

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Mediation with Interaction

Mediation model where the effect of treatment on the outcome depends on the level of the mediator, capturing non-linear and synergistic causal mechanisms.

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Total Effect Decomposition

Analytical procedure dividing the total causal effect into direct and indirect components, sometimes including interaction effects, for a fine-grained understanding of mechanisms.

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Hypothèse d'Exclusion

Postulat en médiation stipulant que le traitement n'affecte le résultat qu'à travers les médiateurs inclus dans le modèle, condition cruciale pour l'identification causale.

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