Research map / Probabilistic and scientific modeling / Treatment effects
Estimating Causal Effects Using Weighting-Based Estimators
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| CWO (composition of weighting operators) instead of naive plug-in estimator | front-door estimand · Front-door simulation, high-dim Z (D=10 to 20) | MAAE | Helped |
| CWO instead of naive plug-in estimator | front-door estimand · Front-door simulation, low-dim Z (D up to 8) | MAAE | No clear effect |
| CWO instead of naive plug-in estimator | front-door estimand · Front-door sample efficiency | samples needed to reach MAAE 0.025 | Helped |
| CWO instead of naive plug-in estimator | mSBD estimand · mSBD simulation, D from 3 to 7 | MAAE | Helped |
| CWO instead of naive plug-in estimator | surrogate endpoint estimand · Surrogate endpoints simulation, D from 4 to 20 | MAAE | Helped |
| CWO instead of naive plug-in estimator | causal mediators estimand · Causal mediators simulation, D from 4 to 20 | MAAE | Helped |
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