Dichotomization And Proportional Odds Model (Episode 10) The Effective Data Scientist podcast

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Science Natural Sciences Alexander Schacht and Paolo Eusebi Alexander Schacht Paolo Eusebi Data Science Data Scientist

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Dichotomization and Proportional Odds Model (Episode 10)

12M ago 15:30

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内容由Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi提供。所有播客内容（包括剧集、图形和播客描述）均由 Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。

In this episode, we move from the logistic regression model to proportional odds model, with emphasis on interpretation and the checking of assumptions (visually and analytically). We also speak about the opportunities and challenges of dealing with the dichotomization of ordinal or continuous variables.

Resources:

● McCullagh, Peter, and John A. Nelder. Generalized linear models. Routledge, 1983.

● Agresti, Alan. Categorical data analysis. John Wiley & Sons, 2003.

● Faraway, Julian J. Extending the linear model with R: generalized linear, mixed effects and nonparametric regression models. Chapman and Hall/CRC, 2016. (http://https://julianfaraway.github.io/faraway/ELM/)

… continue reading

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#Science #Natural Sciences #Alexander Schacht and Paolo Eusebi #Alexander Schacht #Paolo Eusebi #Data Science #Data Scientist

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Dichotomization and Proportional Odds Model (Episode 10)

The Effective Data Scientist

published 12M ago

分享

AAC•单集首页

内容由Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi提供。所有播客内容（包括剧集、图形和播客描述）均由 Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。

In this episode, we move from the logistic regression model to proportional odds model, with emphasis on interpretation and the checking of assumptions (visually and analytically). We also speak about the opportunities and challenges of dealing with the dichotomization of ordinal or continuous variables.

Resources:

● McCullagh, Peter, and John A. Nelder. Generalized linear models. Routledge, 1983.

● Agresti, Alan. Categorical data analysis. John Wiley & Sons, 2003.

● Faraway, Julian J. Extending the linear model with R: generalized linear, mixed effects and nonparametric regression models. Chapman and Hall/CRC, 2016. (http://https://julianfaraway.github.io/faraway/ELM/)

… continue reading

24集单集

#Science #Natural Sciences #Alexander Schacht and Paolo Eusebi #Alexander Schacht #Paolo Eusebi #Data Science #Data Scientist

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