spotify_confidence/analysis/frequentist/confidence_computers/confidence_computer.py [274:290]:
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            absolute=absolute,
            groupby=groupby,
            level_as_reference=True,
            nims=nims,
            final_expected_sample_size_column=final_expected_sample_size_column,
            mde_column=mde_column,
        )
        return (
            difference_df
            if verbose
            else difference_df[
                listify(groupby)
                + ["level_1", "level_2", "absolute_difference", DIFFERENCE, CI_LOWER, CI_UPPER, P_VALUE]
                + [ADJUSTED_LOWER, ADJUSTED_UPPER, ADJUSTED_P, IS_SIGNIFICANT, POWERED_EFFECT, REQUIRED_SAMPLE_SIZE]
                + ([NIM, NULL_HYPOTHESIS, PREFERENCE] if nims is not None else [])
            ]
        )
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spotify_confidence/analysis/frequentist/confidence_computers/confidence_computer.py [355:371]:
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            absolute=absolute,
            groupby=groupby,
            level_as_reference=True,
            nims=nims,
            final_expected_sample_size_column=final_expected_sample_size_column,
            mde_column=mde_column,
        )
        return (
            difference_df
            if verbose
            else difference_df[
                listify(groupby)
                + ["level_1", "level_2", "absolute_difference", DIFFERENCE, CI_LOWER, CI_UPPER, P_VALUE]
                + [ADJUSTED_LOWER, ADJUSTED_UPPER, ADJUSTED_P, IS_SIGNIFICANT, POWERED_EFFECT, REQUIRED_SAMPLE_SIZE]
                + ([NIM, NULL_HYPOTHESIS, PREFERENCE] if nims is not None else [])
            ]
        )
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