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voiage.methods.network_nma.sophisticated_nma_model_evaluator

sophisticated_nma_model_evaluator

Section titled “sophisticated_nma_model_evaluator”
sophisticated_nma_model_evaluator([positional or keyword] psa_samples: PSASample = None, [positional or keyword] trial_design: TrialDesign | None = None, [positional or keyword] trial_data: dict[str, np.ndarray] | None = None) -> NetBenefitArray

Evaluate the NMA model and return net benefits.

Parameters

Section titled “Parameters”

psa_samples : ParameterSet PSA samples for the network model. trial_design : TrialDesign, optional Optional trial design for the study. trial_data : dict[str, numpy.ndarray], optional Optional simulated trial data.

Returns

Section titled “Returns”

ValueArray Net-benefit samples for the modeled strategies.

Parameters:

  • psa_samples PSASample
  • trial_design TrialDesign | None (default: None)
  • trial_data dict[str, np.ndarray] | None (default: None)

Returns: NetBenefitArray