Volume 9 · Mixed models, Bayes, meta-analysis, causality

The last twelve days are the ones your examiners were never taught.

Twelve days on what doctoral work runs on now: why nested data break ANOVA, mixed-effects models with random slopes and crossed effects, GLMMs, Bayesian estimation and Bayes factors, MCMC diagnostics, meta-analysis and publication bias, bootstrap and permutation methods, simulation as a design tool, and causal inference with DAGs.

12
days of 45–55 min
1
assumption this volume repairs
2
ways to support the null
3
roles a covariate can play
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The mistake this topic produces
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Do this now · 15 minutes
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Reference

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Checkpoint

Ten questions before you move on

These topics appear rarely in entrance papers and constantly in supervision, reviews and vivas. This is the last checkpoint of the course.

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That is all 112 days

From what a mean is to what a causal claim requires. What remains is practice: the decision tool turns a described design into the right test, the exam drill covers the syllabus and the traps, and the lab holds every simulator and calculator in one place.

Open the decision tool →