ehrapy.tools.CausalEstimate

class ehrapy.tools.CausalEstimate(method, treatment, outcome, value, se=None, ci_lower=None, ci_upper=None, n=None, params=<factory>)

Result of a causal effect estimation.

Attributes table

ci_lower	Lower bound of the (typically 95%) confidence interval, when available.
ci_upper	Upper bound of the (typically 95%) confidence interval, when available.
n	Number of observations used to compute the estimate.
se	Standard error of the estimate, when available.
method	Name of the estimator that produced this estimate.
treatment	Treatment variable name.
outcome	Outcome variable name.
value	Point estimate of the average treatment effect (ATE).
params	Estimator-specific metadata such as fitted propensity scores or effective sample size.

Methods table

summary()

Return a multi-line human-readable summary of the estimate.

Attributes

CausalEstimate.ci_lower: float | None = None

Lower bound of the (typically 95%) confidence interval, when available.

CausalEstimate.ci_upper: float | None = None

Upper bound of the (typically 95%) confidence interval, when available.

CausalEstimate.n: int | None = None

Number of observations used to compute the estimate.

CausalEstimate.se: float | None = None

Standard error of the estimate, when available.

CausalEstimate.method: str

Name of the estimator that produced this estimate.

CausalEstimate.treatment: str

Treatment variable name.

CausalEstimate.outcome: str

Outcome variable name.

CausalEstimate.value: float

Point estimate of the average treatment effect (ATE).

CausalEstimate.params: dict[str, Any]

Estimator-specific metadata such as fitted propensity scores or effective sample size.

Methods

CausalEstimate.summary()

Return a multi-line human-readable summary of the estimate.

Return type:

str