Research map / Probabilistic and scientific modeling / Treatment effects
Debiased Bayesian inference for average treatment effects
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add propensity-score bias correction to the GP prior | GP · Synthetic HET n=1000 | Abs. error: 0.321± 0.027 -> 0.063±0.042 | Helped |
| Add propensity-score bias correction to the GP prior | GP · Synthetic HET n=1000 | Coverage: 0.38 -> 1.00 | Helped |
| Add propensity-score bias correction to the GP prior | GP · IHDP simulated outcomes | Abs. error: 0.246±0.398 -> 0.189± 0.234 | Helped |
| Add propensity-score bias correction to the GP prior | GP · IHDP simulated outcomes | Coverage: 0.95 -> 0.97 | Helped |
| Do not randomize feature distribution F (ablation) | GP + PS · Synthetic HET n=1000 | Coverage: 1.00 -> 1.00 | No clear effect |
| Do not randomize feature distribution F (ablation) | GP + PS · IHDP simulated outcomes | Coverage: 0.97 -> 0.93 | Hurt |
| Do not randomize feature distribution F (ablation) | GP · Synthetic HET n=1000 | Coverage: 0.38 -> 0.00 | Hurt |
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