nmb
cea.nmb(outcomes, wtp, *, effect=None)Net monetary benefit per iteration and intervention: wtp * effect - cost.
Parameters
| Name | Type | Description | Default |
|---|---|---|---|
| outcomes | Outcomes | Outcomes from a probabilistic sensitivity analysis. | required |
| wtp | float |
Willingness to pay per unit of effect. | required |
| effect | str | None |
Effect column (default: the primary effect). | None |
Returns
| Name | Type | Description |
|---|---|---|
| pd.DataFrame | DataFrame (iterations x interventions) of NMB values. |
Example
import pandas as pd from heormodel.models import Outcomes from heormodel.cea import nmb c = pd.DataFrame({“A”: [100.0]}) e = pd.DataFrame({“A”: [0.01]}) float(nmb(Outcomes.from_wide(c, e), wtp=50_000)[“A”][0]) 400.0