(Stuff I’ll review)
Part 1: Causal Diagrams and Confounding
Part 2: Interaction, Mediation, and Time-Varying Treatments
Part 3: Measurement, Measurement Error, Cultural Comparisons
Part 4: Experiments: What Randomisation Ensures and Does not Ensure
For more comprehensive resources on causal inference, practical workflows, and data visualisation, visit the EPIC Lab Resources page.
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title: "Readings"
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## Suggested readings
(Stuff I'll review)
::: {.column width="50%"}
**Part 1: [Causal Diagrams and Confounding](https://www.cambridge.org/core/journals/evolutionary-human-sciences/article/methods-in-causal-inference-part-1-causal-diagrams-and-confounding/E734F72109F1BE99836E268DF3AA0359)**
**Part 2: [Interaction, Mediation, and Time-Varying Treatments](https://www.cambridge.org/core/journals/evolutionary-human-sciences/article/methods-in-causal-inference-part-2-interaction-mediation-and-timevarying-treatments/D7FD95D3ED64FE0FBBEC37AC6CEAFBC1)**
**Part 3: [Measurement, Measurement Error, Cultural Comparisons](https://www.cambridge.org/core/journals/evolutionary-human-sciences/article/methods-in-causal-inference-part-3-measurement-error-and-external-validity-threats/4D35FFDECF32B2EFF7557EC26075175F)**
**Part 4: [Experiments: What Randomisation Ensures and Does not Ensure](https://www.cambridge.org/core/journals/evolutionary-human-sciences/article/methods-in-causal-inference-part-4-confounding-in-experiments/570D60A5FCCA007B55427384818C368E)**
## Additional lab resources
For more comprehensive resources on causal inference, practical workflows, and data visualisation, visit the [EPIC Lab Resources page](https://go-bayes.github.io/epic-lab/resources.html).