causalis.scenarios.multi_unconfoundedness.refutation.overlap.overlap_validation

Overlap diagnostics for multi-treatment unconfoundedness.

Module Contents

Functions

run_overlap_diagnostics

Run multi-treatment overlap diagnostics from data and estimate.

Data

__all__

API

causalis.scenarios.multi_unconfoundedness.refutation.overlap.overlap_validation.run_overlap_diagnostics(data: causalis.data_contracts.multicausaldata.MultiCausalData, estimate: causalis.data_contracts.multicausal_estimate.MultiCausalEstimate, *, thresholds: Optional[Dict[str, float]] = None, use_hajek: Optional[bool] = None, return_summary: bool = True, auc_flip_margin: float = 0.05) → Dict[str, Any]

Run multi-treatment overlap diagnostics from data and estimate.

Diagnostics are computed pairwise between baseline treatment 0 and each active treatment k using pairwise conditional propensity P(D=k | X, D in {0, k}) as the comparison score.

causalis.scenarios.multi_unconfoundedness.refutation.overlap.overlap_validation.__all__

[‘run_overlap_diagnostics’]