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voiage.methods.network_meta_analysis.NetworkMetaAnalysisData

Data structure for Network Meta-Analysis inputs.

Attributes

Section titled “Attributes”

treatment_effects : dict[tuple[str, str], numpy.ndarray] Mapping from treatment pairs to effect-size samples. n_studies : int Number of studies in the network. treatments : list[str] Treatment names. outcome_type : str Outcome type, such as continuous or binary.

Examples

Section titled “Examples”

>>> import numpy as np >>> from voiage.methods.network_meta_analysis import NetworkMetaAnalysisData >>> data = NetworkMetaAnalysisData({(“A”, “B”): np.array([0.1, 0.2])}, 1, [“A”, “B”]) >>> data.get_n_treatments() 2

Methods

Section titled “Methods”

get_treatment_names

Section titled “get_treatment_names”
get_treatment_names([positional or keyword] self: None = None) -> list[str]

Return list of treatment names.

Parameters:

  • self

Returns: list[str]

get_n_treatments

Section titled “get_n_treatments”
get_n_treatments([positional or keyword] self: None = None) -> int

Return number of treatments.

Parameters:

  • self

Returns: int

get_n_samples

Section titled “get_n_samples”
get_n_samples([positional or keyword] self: None = None) -> int

Return number of PSA samples.

Parameters:

  • self

Returns: int