Abstract
E-variables are tools for retaining type-I error guarantee with optional stopping. We extend E-variables for sequential two-sample tests to general null hypotheses and anytime-valid confidence sequences. We provide implementations for estimating risk difference, relative risk and odds-ratios in contingency tables.
| Original language | English |
|---|---|
| Article number | 109835 |
| Journal | Statistics and Probability Letters |
| Volume | 198 |
| DOIs | |
| Publication status | Published - Jul 2023 |
Keywords
- Anytime-valid
- Confidence sequences
- Contingency tables
- Effect size