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| Date, S. (n.d.). Understanding Partial Effects, Main Effects, And Interaction Effects In A Regression Model. Time Series Analysis, Regression, and Forecasting With Tutorials in Python. Retrieved October 9, 2023, from https://timeseriesreasoning.com/contents/partial-effect-main-effect-interaction-effect/ | | Date, S. (n.d.). Understanding Partial Effects, Main Effects, And Interaction Effects In A Regression Model. Time Series Analysis, Regression, and Forecasting With Tutorials in Python. Retrieved October 9, 2023, from https://timeseriesreasoning.com/contents/partial-effect-main-effect-interaction-effect/ |
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| + | *On the internet only this page refers to difference between '''marginal effects''' and '''partial effects''' ''without citation'' as follows: |
| + | **'''marginal effects''', i.e., the marginal contribution of each variable on the scale of the linear predictor |
| + | **'''partial effects''', i.e., the contribution of each variable on the outcome scale, conditional on the other variables involved in the link function transformation of the linear predictor |
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| + | An Introduction to ‘margins.’ (2021, January 21). https://cran.r-project.org/web/packages/margins/vignettes/Introduction.html |
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| ==Marginal effects of ordinary categorical data== | | ==Marginal effects of ordinary categorical data== |
| *How to interpret effects in modeling ordinary categorical data | | *How to interpret effects in modeling ordinary categorical data |
| + | **In this article the authors refer to '''marginal effects''' as same with '''partical effects''' but also mention their possibility of leading misunderstanding |
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| Agresti, A., & Tarantola, C. (2018). Simple ways to interpret effects in modeling ordinal categorical data. Statistica Neerlandica, 72(3), 210–223. https://doi.org/10.1111/stan.12130 | | Agresti, A., & Tarantola, C. (2018). Simple ways to interpret effects in modeling ordinal categorical data. Statistica Neerlandica, 72(3), 210–223. https://doi.org/10.1111/stan.12130 |
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