Research map / Probabilistic and scientific modeling / Treatment effects
A New Framework for Online Testing of Heterogeneous Treatment Effect
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use SST instead of mSPRT for logistic HTE testing | online HTE testing · Logistic simulation, N(0,1) covariate, null | type I error: 0.001 -> 0.017 | Mixed |
| Use SST instead of mSPRT when testing linear HTE | online HTE testing · Linear simulation, N(0,1) covariate, null | type I error: 0.132 -> 0.001 | Helped |
| Use SST instead of mSPRT for logistic HTE detection | online HTE testing · Logistic simulation, N(0,1) covariate, beta=(-0.12,0.12) | power: 0.356 -> 0.730 | Helped |
| Use SST instead of mSPRT for linear HTE detection | online HTE testing · Linear simulation, U[-1,1] covariate, beta=(-0.05,0.05) | power: 0.535 -> 0.419 | Hurt |
| Use SST rather than mSPRT with BH for multiple HTE tests | online multiple testing · Logistic simulation, N(0,1) covariate | TPR: 0.7191 -> 0.8038 | Helped |
| Use SST rather than mSPRT for the Yahoo article A/B test | online testing of articles 109510 and 109520 · Yahoo article A/B test | events to rejection: 67600 -> 19600 | Helped |
| Use SST rather than mSPRT for Yahoo pairwise article comparisons | online multiple testing · Yahoo 10-article pairwise comparisons | rejections: 23 -> 43 | Helped |
| Use SST for high-dimensional HTE testing with 21 covariates | SST · Logistic simulation, 21 covariates, null | type I error: 0.025 | Helped |
Closest papers by meaning
- SCORE: A Unified Framework for Overshoot Refund in Online FDR Control (ICML 2026 · similarity 0.85)
- Asymptotically Optimal and Computationally Efficient Average Treatment Effect Estimation in A/B testing (ICML 2024 · similarity 0.82)
- YEAST: Yet Another Sequential Test (NeurIPS 2025 · similarity 0.81)
- Semiparametric Efficient Tests for Interpretable Distributional Treatment Effects (NeurIPS 2026 · similarity 0.81)
- Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data (NeurIPS 2024 · similarity 0.80)
- Do Contemporary Causal Inference Models Capture Real-World Heterogeneity? Findings from a Large-Scale Benchmark (ICLR 2025 · similarity 0.80)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.