Related Issues (20)
- Visualising shrinkage in mixed models
- Convergence problems
- Use Beta1, Beta2, Beta3 etc rather than alpha, beta, gamma, for parameters?
- Emphasize distribution notation (y ~ N(mu, sigma), y ~ Bin(N, p), y ~ Pois(lambda)) etc over y = a + bx
- Table 2 fallacy
- Add average predictive comparisons
- Centering predictors can change significance of effects in models with interactions
- Add dabestr visualisations to interpret effect sizes
- Improve visualisation of binomial glm HOT 1
- More examples for binomial GLM HOT 1
- Explain S values to interpret p-values HOT 1
- Use {marginaleffects} HOT 2
- Use Firth's approach for binomial GLM?
- Use modelsummary
- GLM binomial: change UN example to another with overdispersion
- Explain centering of continuous predictors
- Multinomial and ordinal regression
- GLM binomial: interpret coefficients as odd ratios
- GLM binomial: cross-validation y evaluar predicciones HOT 1
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from lm-glm-glmm-intro.