OutcomeFalsification.run#
- OutcomeFalsification.run(experiment, context)[source]#
Run outcome falsification analysis.
For each falsification formula, fits the experiment with the alternative formula and reports the estimated effect size with HDI intervals.
This is an informational check (
passed=None). The researcher interprets whether the pattern of effect sizes across outcomes supports their causal story.- Parameters:
experiment (
BaseExperiment) – The fitted experiment to check.context (
PipelineContext) – Pipeline context providingexperiment_configfor re-fits.
- Returns:
With
passed=None(informational). The table contains effect sizes and HDI intervals for each falsification formula.- Return type: