iv_confounders_balance

Submodule causalis.scenarios.iv.refutation.iv_confounders_balance with no child pages and 2 documented members.

Functions

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Data

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function

causalis.scenarios.iv.refutation.iv_confounders_balance.iv_confounders_balance

Compute confounder balance diagnostics between instrument groups.

Produces a DataFrame containing expanded confounder columns (after one-hot encoding categorical variables if present) with:

confounders: name of the confounder
mean_z_0: mean value for rows with Z=0
mean_z_1: mean value for rows with Z=1
abs_diff: abs(mean_z_1 - mean_z_0)
smd: standardized mean difference (Cohen’s d using pooled std)
ks_pvalue: p-value for the KS test (rounded to 5 decimal places, non-scientific)

Parameters

dataIVCausalData: The IV causal dataset containing exactly one binary instrument column.

Returns

pd.DataFrame

Balance table sorted by |smd| (descending).

Examples

Assuming ‘causal_data’ is an IVCausalData object

Canonical target

causalis.scenarios.iv.refutation.iv_confounders_balance.iv_confounders_balance

Sections

ParametersReturnsExamples

data

causalis.scenarios.iv.refutation.iv_confounders_balance.__all__

all

Value: ['iv_confounders_balance']

[‘iv_confounders_balance’]

Canonical target

causalis.scenarios.iv.refutation.iv_confounders_balance.__all__