Design randomized controlled trials for causal inference. Use when user mentions: randomized evaluation, RCT, field experiment, randomized experiment, treatment assignment, causal impact, experimental design, control group, intervention evaluation.
The exact command may vary by repository. Check the README on GitHub.
For the skill author
Drop this on your repo README
Shows your skill is listed on Skillteca, generates a backlink and trackable traffic.
[](https://www.skillteca.com.br/skills/rct-core-design?utm_source=badge&utm_medium=readme&utm_campaign=badge)
One short email with only the new Pesquisa e Web skills. 4 minutes of reading, no spam, unsubscribe with one click.
You confirm your email on the first send. No spam. Unsubscribe with one click.
<skill_content>
<overview>
Randomized Controlled Trials (RCTs) are the gold standard for causal inference when randomization is feasible. Random assignment eliminates selection bias and balances observed and unobserved confounders in expectation, enabling clean identification of treatment effects. Strong RCT design requires careful attention to power, ethics, implementation fidelity, and threats to validity.
RCTs answer "does X cause Y?" with minimal assumptions.
</overview>
<mandatory_requir
[Description truncada. Veja o README completo no GitHub.]
