LM-GLM-GLMM-intro

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con easystats

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https://stats.idre.ucla.edu/r/dae/multinomial-logistic-regression/ https://stats.idre.ucla.edu/r/dae/ordinal-logistic-regression/

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In the first example (Heght ~ DBH)

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More examples for binomial GLM

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https://doi.org/10.1073/pnas.1207156109 (HT F. Harrell)

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Explain S values to interpret p-values

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https://vincentarelbundock.github.io/marginaleffects/articles/svalues.html

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Improve visualisation of binomial glm

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e.g.  https://www.andrewheiss.com/blog/2022/09/26/guide-visualizing-types-posteriors/

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Particularly with smallish samples See https://twitter.com/carlislerainey/status/1686389777225113601 & https://doi.org/10.1017/psrm.2021.9

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