Marginal and Conditional Confounding using Logits

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Standard

Marginal and Conditional Confounding using Logits. / Karlson, Kristian Bernt; Popham, Frank; Holm, Anders.

In: Sociological Methods & Research, Vol. 52, No. 4, 2023, p. 1765-1784.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Karlson, KB, Popham, F & Holm, A 2023, 'Marginal and Conditional Confounding using Logits', Sociological Methods & Research, vol. 52, no. 4, pp. 1765-1784. https://doi.org/10.1177/0049124121995548

APA

Karlson, K. B., Popham, F., & Holm, A. (2023). Marginal and Conditional Confounding using Logits. Sociological Methods & Research, 52(4), 1765-1784. https://doi.org/10.1177/0049124121995548

Vancouver

Karlson KB, Popham F, Holm A. Marginal and Conditional Confounding using Logits. Sociological Methods & Research. 2023;52(4):1765-1784. https://doi.org/10.1177/0049124121995548

Author

Karlson, Kristian Bernt ; Popham, Frank ; Holm, Anders. / Marginal and Conditional Confounding using Logits. In: Sociological Methods & Research. 2023 ; Vol. 52, No. 4. pp. 1765-1784.

Bibtex

@article{bc089002f3fa49f8a3660f2f564cdec9,
title = "Marginal and Conditional Confounding using Logits",
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 (2012) 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.",
keywords = "Faculty of Social Sciences, logit, odds ratio, confounding, mediation, standardization",
author = "Karlson, {Kristian Bernt} and Frank Popham and Anders Holm",
year = "2023",
doi = "10.1177/0049124121995548",
language = "English",
volume = "52",
pages = "1765--1784",
journal = "Sociological Methods and Research",
issn = "0049-1241",
publisher = "SAGE Publications",
number = "4",

}

RIS

TY - JOUR

T1 - Marginal and Conditional Confounding using Logits

AU - Karlson, Kristian Bernt

AU - Popham, Frank

AU - Holm, Anders

PY - 2023

Y1 - 2023

N2 - 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 (2012) 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.

AB - 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 (2012) 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.

KW - Faculty of Social Sciences

KW - logit

KW - odds ratio

KW - confounding

KW - mediation

KW - standardization

U2 - 10.1177/0049124121995548

DO - 10.1177/0049124121995548

M3 - Journal article

C2 - 37873547

VL - 52

SP - 1765

EP - 1784

JO - Sociological Methods and Research

JF - Sociological Methods and Research

SN - 0049-1241

IS - 4

ER -

ID: 257596123