Marginal and Conditional Confounding Using Logits

Autor/inn/en	Karlson, Kristian Bernt; Popham, Frank; Holm, Anders
Titel	Marginal and Conditional Confounding Using Logits
Quelle	In: Sociological Methods & Research, 52 (2023) 4, S.1765-1784 (20 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Karlson, Kristian Bernt) ORCID (Popham, Frank) ORCID (Holm, Anders)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0049-1241
DOI	10.1177/0049124121995548
Schlagwörter	Statistical Analysis; Probability; Standards; Mediation Theory; Weighted Scores + Suchen Sie Ihr Suchwort? Statistische Analyse; Wahrscheinlichkeitsrechnung; Wahrscheinlichkeitstheorie; Standard; Mediationsverfahren
Abstract	This article presents two ways of quantifying confounding using logistic response models for binary outcomes. Drawing on the distinction between marginal and conditional odds ratios in statistics, we define two corresponding measures of confounding (marginal and conditional) that can be recovered from a simple standardization approach. We investigate when marginal and conditional confounding may differ, outline why the method by Karlson, Holm, and Breen recovers conditional confounding under a "no interaction"-assumption, and suggest that researchers may measure marginal confounding by using inverse probability weighting. We provide two empirical examples that illustrate our standardization approach. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01