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voiage.methods.adaptive.sophisticated_adaptive_trial_simulator

sophisticated_adaptive_trial_simulator

Section titled “sophisticated_adaptive_trial_simulator”
sophisticated_adaptive_trial_simulator([positional or keyword] psa_samples: PSASample = None, [positional or keyword] base_design: TrialDesign = None, [positional or keyword] adaptive_rules: dict[str, object] = None) -> NetBenefitArray

Simulate an adaptive trial and return net-benefit samples.

Parameters

Section titled “Parameters”

psa_samples : ParameterSet PSA samples representing parameter uncertainty. base_design : TrialDesign Trial design before adaptive modifications. adaptive_rules : dict[str, object] Rules describing interim analyses and early stopping behavior.

Returns

Section titled “Returns”

ValueArray Net-benefit samples for the decision alternatives generated by the simulated adaptive trial.

Notes

Section titled “Notes”

This helper is intentionally simplified and deterministic enough for testing and examples, not for production trial simulation.

Parameters:

  • psa_samples PSASample
  • base_design TrialDesign
  • adaptive_rules dict[str, object]

Returns: NetBenefitArray