Equivalence of the mediation, confounding and suppression effect.
D. MacKinnon, J. Krull, and C. Lockwood. Prevention science : the official journal of the Society for Prevention Research, 1 (4):
173-81(December 2000)3530<m:linebreak></m:linebreak>Mesures d'associació.
Abstract
This paper describes the statistical similarities among mediation, confounding, and suppression. Each is quantified by measuring the change in the relationship between an independent and a dependent variable after adding a third variable to the analysis. Mediation and confounding are identical statistically and can be distinguished only on conceptual grounds. Methods to determine the confidence intervals for confounding and suppression effects are proposed based on methods developed for mediated effects. Although the statistical estimation of effects and standard errors is the same, there are important conceptual differences among the three types of effects.
%0 Journal Article
%1 MacKinnon2000
%A MacKinnon, D P
%A Krull, J L
%A Lockwood, C M
%D 2000
%J Prevention science : the official journal of the Society for Prevention Research
%K Bias(Epidemiology) Causality ConfidenceIntervals ConfoundingFactors(Epidemiology) DataInterpretation EffectModifier Epidemiologic Humans Least-SquaresAnalysis Models ReproducibilityofResults Statistical
%N 4
%P 173-81
%T Equivalence of the mediation, confounding and suppression effect.
%U http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2819361&tool=pmcentrez&rendertype=abstract
%V 1
%X This paper describes the statistical similarities among mediation, confounding, and suppression. Each is quantified by measuring the change in the relationship between an independent and a dependent variable after adding a third variable to the analysis. Mediation and confounding are identical statistically and can be distinguished only on conceptual grounds. Methods to determine the confidence intervals for confounding and suppression effects are proposed based on methods developed for mediated effects. Although the statistical estimation of effects and standard errors is the same, there are important conceptual differences among the three types of effects.
@article{MacKinnon2000,
abstract = {This paper describes the statistical similarities among mediation, confounding, and suppression. Each is quantified by measuring the change in the relationship between an independent and a dependent variable after adding a third variable to the analysis. Mediation and confounding are identical statistically and can be distinguished only on conceptual grounds. Methods to determine the confidence intervals for confounding and suppression effects are proposed based on methods developed for mediated effects. Although the statistical estimation of effects and standard errors is the same, there are important conceptual differences among the three types of effects.},
added-at = {2023-02-03T11:44:35.000+0100},
author = {MacKinnon, D P and Krull, J L and Lockwood, C M},
biburl = {https://www.bibsonomy.org/bibtex/2955cecfddb01562a92d7a813d2a8e5fc/jepcastel},
interhash = {45ade3bea49578777e90fe627f42bb6d},
intrahash = {955cecfddb01562a92d7a813d2a8e5fc},
issn = {1389-4986},
journal = {Prevention science : the official journal of the Society for Prevention Research},
keywords = {Bias(Epidemiology) Causality ConfidenceIntervals ConfoundingFactors(Epidemiology) DataInterpretation EffectModifier Epidemiologic Humans Least-SquaresAnalysis Models ReproducibilityofResults Statistical},
month = {12},
note = {3530<m:linebreak></m:linebreak>Mesures d'associació},
number = 4,
pages = {173-81},
pmid = {11523746},
timestamp = {2023-02-03T11:44:35.000+0100},
title = {Equivalence of the mediation, confounding and suppression effect.},
url = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2819361&tool=pmcentrez&rendertype=abstract},
volume = 1,
year = 2000
}