Analytical Perturbation Engine
A component in the research architecture that systematically perturbs analytical choices, such as cohort boundary variation and stratified rebalancing, to detect the analytical fragility of conclusions.
Timeline (last 90 days)
A second agent analyzes the analytical decision tree, systematically proposes defensible alternative hypotheses (for example, replacing median splits with quantile binning, or adjusting censoring intervals), and re-executes the pipeline.
If a defensible alternative flips the conclusion, the system issues an audit flag.
This study transfers mutation testing to the data analysis context, where "mutants" are defensible variants of analytical choices (such as changing quantile split points, adjusting censoring intervals, or redefining cohort boundaries) rather than code defects.
All Facts (3)
A second agent analyzes the analytical decision tree, systematically proposes defensible alternative hypotheses (for example, replacing median splits with quantile binning, or adjusting censoring intervals), and re-executes the pipeline.
50%UnverifiedIf a defensible alternative flips the conclusion, the system issues an audit flag.
50%UnverifiedThis study transfers mutation testing to the data analysis context, where "mutants" are defensible variants of analytical choices (such as changing quantile split points, adjusting censoring intervals, or redefining cohort boundaries) rather than code defects.
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