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  2. Confounding - Wikipedia

    en.wikipedia.org/wiki/Confounding

    Whereas a mediator is a factor in the causal chain (above), a confounder is a spurious factor incorrectly implying causation (bottom) In causal inference, a confounder [a] is a variable that influences both the dependent variable and independent variable, causing a spurious association.

  3. Spurious relationship - Wikipedia

    en.wikipedia.org/wiki/Spurious_relationship

    Graphical model: Whereas a mediator is a factor in the causal chain (top), a confounder is a spurious factor incorrectly implying causation (bottom). In statistics, a spurious relationship or spurious correlation [1] [2] is a mathematical relationship in which two or more events or variables are associated but not causally related, due to either coincidence or the presence of a certain third ...

  4. Mediation (statistics) - Wikipedia

    en.wikipedia.org/wiki/Mediation_(statistics)

    Simple mediation model. The independent variable causes the mediator variable; the mediator variable causes the dependent variable. In statistics, a mediation model seeks to identify and explain the mechanism or process that underlies an observed relationship between an independent variable and a dependent variable via the inclusion of a third hypothetical variable, known as a mediator ...

  5. Causal model - Wikipedia

    en.wikipedia.org/wiki/Causal_model

    Judea Pearl defines a causal model as an ordered triple ,, , where U is a set of exogenous variables whose values are determined by factors outside the model; V is a set of endogenous variables whose values are determined by factors within the model; and E is a set of structural equations that express the value of each endogenous variable as a function of the values of the other variables in U ...

  6. File:Comparison confounder mediator.svg - Wikipedia

    en.wikipedia.org/wiki/File:Comparison_confounder...

    Comparison of mediator and confounder in causality by CMG Lee. Whereas a mediator is a factor the causal chain (1), a confounder is a spurious factor incorrectly ...

  7. Lord's paradox - Wikipedia

    en.wikipedia.org/wiki/Lord's_paradox

    This resolution of Lord’s Paradox answers both questions: (1) How to allow for preexisting differences between groups and (2) Why the data appear paradoxical. Pearl's do-calculus [6] further answers question (1) for any causal model assumed, including models with multiple unobserved confounders.

  8. Being a husky owner isn't for the weak. It's not that they're bad dogs. It's just that they're HUGE drama queens. There has never been one situation where a Husky has maintained their chill.

  9. Sobel test - Wikipedia

    en.wikipedia.org/wiki/Sobel_test

    The Sobel test is basically a specialized t test that provides a method to determine whether the reduction in the effect of the independent variable, after including the mediator in the model, is a significant reduction and therefore whether the mediation effect is statistically significant.