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Just use multilevel models for your pre/post RCT data

solomonkurz.netlify.app · published 13 June 2022

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the100.ci
Reviewer notes: In a randomized experiment, the pre-post differences are not effect estimates Read at the source ↗
22 Jan 2025

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https://designexptr.org/
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https://solomonkurz.netlify.app/tags/effect-size
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https://solomonkurz.netlify.app/tags/longitudinal
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Within-person factorial experiments, log(normal) reaction-time data Read at the source ↗
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Matching, missing data, a quasi-experiment, and causal inference--Oh my! Read at the source ↗
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Causal inference with beta regression Read at the source ↗
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https://vincentarelbundock.github.io/
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https://github.com/vincentarelbundock/
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https://CRAN.R-project.org/package=lme4
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