Andrew Gelman personal blog
You need 16 times the sample size to estimate an interaction than a main effect
In causal inference, it is often important to study varying treatment effects: for example, a treatment could be more effective for men than for women, or for healthy than for unhealthy patients. Suppose a study is designed to have 80% power to detect a main effect at a 95% confidence level. Further suppose that…
- Points
- 142
- HN comments
- 9
- Submissions
- 1
- Cited by
- 0 commenters
Math & AlgorithmsScience & Space2018
On Hacker News
| Submitted | Title on HN | Points | Comments |
|---|---|---|---|
| Mar 16, 2018 | You need 16 times the sample size to estimate an interaction than a main effect by luu | 142 | 9 |
