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. 2023 Jun 10;6(2):25-32.
doi: 10.37737/ace.24005. eCollection 2024.

Expanding the Scope: In-depth Review of Interaction in Regression Models

Akihiro Shiroshita  1   2 , Norio Yamamoto  2   3 , Natsumi Saka  2   4   5 , Hiroshi Shiba  6 , Shinji Toki  7 , Mari Yamamoto  8 , Eisuke Dohi  9 , Yuki Kataoka  3   10   11   12
Affiliations

Expanding the Scope: In-depth Review of Interaction in Regression Models

Akihiro Shiroshita et al. Ann Clin Epidemiol. .
No abstract available

Keywords: Effect modification; Interaction; Regression.

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Conflict of interest statement

Nothing to declare.

Figures

Fig. 1
Fig. 1. Fitted plot of a simple linear regression
Fig. 2
Fig. 2. Fitted plot of logistic regression
Fig. 3
Fig. 3. Fitted plot of a non-linear regression
Fig. 4
Fig. 4. Fitted plot of multiple linear regression with an interaction term (blue: subgroup A and red: subgroup B)
Fig. 5
Fig. 5. Shift of fitted curve based on intercept-only change in logistic regression
Fig. 6
Fig. 6. Fitted plot of logistic regression without/with an interaction term
Fig. 7
Fig. 7. Marginal effects and second difference (blue: subgroup A and red: subgroup B)
See this image and copyright information in PMC

References

    1. Norton EC, Dowd BE, Maciejewski ML. Marginal Effects—Quantifying the Effect of Changes in Risk Factors in Logistic Regression Models. JAMA 2019;321:1304–1305. - PubMed
    1. Editors’ Comment: A Few Guidelines for Quantitative Submissions - Sarah A. Mustillo, Omar A. Lizardo, Rory M. McVeigh, 2018. Accessed May 8, 2022. https://journals.sagepub.com/doi/full/10.1177/0003122418806282
    1. Shiroshita A, Yamamoto N, Saka N, Okumura M, Shiba H, Kataoka Y. Inappropriate Evaluation of Effect Modifications Based on Categorical Outcomes: A Systematic Review of Randomized Controlled Trials. Int J Environment Res Public Health 2022;19:15262. - PMC - PubMed
    1. Mize TD. Best Practices for Estimating, Interpreting, and Presenting Nonlinear Interaction Effects. Sociol Sci 2019;6:81–117.
    1. VanderWeele TJ, Knol MJ. A Tutorial on Interaction. Epidemiol Methods 2014;3:33–72.

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