InversePropensityWeighting.input_validation

InversePropensityWeighting.input_validation()

Validate the input data and model formula for correctness.

Checks that the outcome_variable exists in self.data and that the treatment values produced by the formula are binary. Note that a constant (single-value) treatment passes this check without error but may cause downstream estimators to fail or produce undefined results.

Raises:

DataException – If the outcome variable is missing from the data or if the formula produces treatment values other than zero and one.

Return type:

None