outcome_outliers

outcome_outliers

Functions

• outcome_outliers – Detect outcome outliers per treatment group using IQR or z-score rules.

outcome_outliers

Detect outcome outliers per treatment group using IQR or z-score rules.

Parameters

• data (CausalData or MultiCausalData) – Causal dataset containing the dataframe and metadata.
• treatment (str) – Treatment column name. For MultiCausalData, if not provided, one-hot treatment columns are converted to assigned treatment labels.
• outcome (str) – Outcome column name. Defaults to data.outcome.
• method (('iqr', 'zscore')) – Outlier detection rule.
• iqr_k (float) – Multiplier for the IQR rule.
• z_thresh (float) – Z-score threshold for the z-score rule.
• tail (('both', 'lower', 'upper')) – Which tail(s) to flag as outliers.
• return_rows (bool) – If True, also return the rows flagged as outliers (subset of data.df).

Returns

• summary (DataFrame) – Per-treatment summary with counts, rates, bounds, and flags.
• outliers (DataFrame) – Only returned when return_rows=True. Subset of data.df containing flagged outlier rows.