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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Indhold leveret af Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.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 episoder

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

Artwork

Dichotomization and Proportional Odds Model (Episode 10)

The Effective Data Scientist

published 12M ago

Del

AAC•Episode hjem

Indhold leveret af Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.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 episoder

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

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