How (Not) to Use Risk Ratios in Sociological Research

Research output: Contribution to journalJournal articleResearchpeer-review

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How (Not) to Use Risk Ratios in Sociological Research. / Karlson, Kristian Bernt; Quillian, Lincoln.

In: Socius: Sociological Research for a Dynamic World, 08.09.2023.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Karlson, KB & Quillian, L 2023, 'How (Not) to Use Risk Ratios in Sociological Research', Socius: Sociological Research for a Dynamic World. https://doi.org/10.1177/23780231231192394

APA

Karlson, K. B., & Quillian, L. (2023). How (Not) to Use Risk Ratios in Sociological Research. Socius: Sociological Research for a Dynamic World. https://doi.org/10.1177/23780231231192394

Vancouver

Karlson KB, Quillian L. How (Not) to Use Risk Ratios in Sociological Research. Socius: Sociological Research for a Dynamic World. 2023 Sep 8. https://doi.org/10.1177/23780231231192394

Author

Karlson, Kristian Bernt ; Quillian, Lincoln. / How (Not) to Use Risk Ratios in Sociological Research. In: Socius: Sociological Research for a Dynamic World. 2023.

Bibtex

@article{2e89e1f6dec64ce19ff7db5f95802ca9,
title = "How (Not) to Use Risk Ratios in Sociological Research",
abstract = "A small but growing literature uses the risk ratio as an association or effect measure. Unlike odds ratios, risk ratios are unaffected by rescaling or non-collapsibility bias and are straightforward to interpret. However, the risk ratio has one unattractive property that researchers need to be aware of: It is not symmetric with respect to the outcome definition. The ratio between two groups{\textquoteright} probability of success does not equal the inverse of the ratio between the two groups{\textquoteright} probability of failure. Choosing the category of a binary outcome to use as the “success” category can significantly affect substantive conclusions, particularly in research comparing risk ratios with highly different baserates of the “success” outcome. We give examples from discrimination and social mobility studies that illustrate this point, and we present rules of thumb for the use of the risk ratio depending on the baserate of the outcome.",
keywords = "Faculty of Social Sciences, risk ratio, association measure, effect measure, odd ratio, risk difference, quantitative methods",
author = "Karlson, {Kristian Bernt} and Lincoln Quillian",
year = "2023",
month = sep,
day = "8",
doi = "10.1177/23780231231192394",
language = "English",
journal = "Socius",
issn = "2378-0231",
publisher = "SAGE Publications",

}

RIS

TY - JOUR

T1 - How (Not) to Use Risk Ratios in Sociological Research

AU - Karlson, Kristian Bernt

AU - Quillian, Lincoln

PY - 2023/9/8

Y1 - 2023/9/8

N2 - A small but growing literature uses the risk ratio as an association or effect measure. Unlike odds ratios, risk ratios are unaffected by rescaling or non-collapsibility bias and are straightforward to interpret. However, the risk ratio has one unattractive property that researchers need to be aware of: It is not symmetric with respect to the outcome definition. The ratio between two groups’ probability of success does not equal the inverse of the ratio between the two groups’ probability of failure. Choosing the category of a binary outcome to use as the “success” category can significantly affect substantive conclusions, particularly in research comparing risk ratios with highly different baserates of the “success” outcome. We give examples from discrimination and social mobility studies that illustrate this point, and we present rules of thumb for the use of the risk ratio depending on the baserate of the outcome.

AB - A small but growing literature uses the risk ratio as an association or effect measure. Unlike odds ratios, risk ratios are unaffected by rescaling or non-collapsibility bias and are straightforward to interpret. However, the risk ratio has one unattractive property that researchers need to be aware of: It is not symmetric with respect to the outcome definition. The ratio between two groups’ probability of success does not equal the inverse of the ratio between the two groups’ probability of failure. Choosing the category of a binary outcome to use as the “success” category can significantly affect substantive conclusions, particularly in research comparing risk ratios with highly different baserates of the “success” outcome. We give examples from discrimination and social mobility studies that illustrate this point, and we present rules of thumb for the use of the risk ratio depending on the baserate of the outcome.

KW - Faculty of Social Sciences

KW - risk ratio

KW - association measure

KW - effect measure

KW - odd ratio

KW - risk difference

KW - quantitative methods

U2 - 10.1177/23780231231192394

DO - 10.1177/23780231231192394

M3 - Journal article

JO - Socius

JF - Socius

SN - 2378-0231

ER -

ID: 356951370