「Marginal effects」の版間の差分
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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 | ||
+ | **p"artial 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 | ||
+ | {{quote|content= | ||
+ | An Introduction to ‘margins.’ (2021, January 21). https://cran.r-project.org/web/packages/margins/vignettes/Introduction.html | ||
}} | }} | ||
2023年10月9日 (月) 19:50時点における版
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What are marginal effects
- Easy explanation of what are marginal effects.
Heiss, A. (2022, May 20). Marginalia: A guide to figuring out what the heck marginal effects, marginal slopes, average marginal effects, marginal effects at the mean, and all these other marginal things are. https://doi.org/10.59350/40xaj-4e562 |
- Another instruction of partial effects.
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/ |
- 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
- p"artial 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
An Introduction to ‘margins.’ (2021, January 21). https://cran.r-project.org/web/packages/margins/vignettes/Introduction.html |
Marginal effects of 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
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 |