Performs placebo-in-time sensitivity analysis with hierarchical null model and optional Bayesian assurance. Use when checking model robustness, verifying lack of pre-intervention effects, or estimating study power.
Executes placebo-in-time sensitivity analysis using the core PlaceboInTime check. Builds a hierarchical Bayesian model of the "status quo" (no-effect) distribution, then compares the actual intervention effect against that learned null. Optionally computes Bayesian assurance (operating characteristics).
PlaceboInTime with n_folds, optional experiment_factory, and optional assurance parameters..run(experiment) (standalone) or use within a Pipeline + SensitivityAnalysis.theta_new), p_effect_outside_null, and optional assurance results.