Audit p-value claims in a results write-up
Catch and rewrite p-value statements that assert hypothesis probabilities, proof, or absence of effect.
2,142 engineered scaffolds across 26 categories. Pick a category, drill into a subcategory, then open one straight into the engine.
Catch and rewrite p-value statements that assert hypothesis probabilities, proof, or absence of effect.
Outlines the primary and secondary statistical methods, populations for analysis, and handling of missing data.
Assess agreement between studies by estimating the difference in effects rather than by sorting p-values around a threshold.
Replace probability-of-containment and overlap-based reasoning with compatibility and width-based reasoning.
Designs a methodology to measure what would have happened without the intervention.
Detect and correct for cognitive biases (anchoring, halo effect, overconfidence) in subjective expert estimates.
Pre-commit to a correction procedure so a wide exploratory sweep does not produce a selective significance narrative.
Determines optimal safety stock levels using demand variance and lead time uncertainty.
Convert an 'no effect found' conclusion into a statement about what effect sizes remain compatible with the data.
Check that the chosen test matches the data's measurement scale and dependence structure before any p-value is generated.
Make the full conditioning set behind a p-value explicit so readers cannot silently extrapolate it.
Technical decision tree for operators when control charts signal a process shift.
Match an available data structure to the identification strategy that removes the specific selection problem present.
Attribute an eye-catching metric correlation between a genuine effect and self-selection before anyone builds a roadmap on it.
Establishes a statistically sound cycle counting program to replace annual physical counts.
Compare an outcome across segments using grouped statistics, contingency tables and derived binary features before any modelling.
Interrogate a statistical result for power, confounding and overclaiming.
Audits Annual Security Reports (ASR) for Clery Act regulatory alignment and disclosure gaps.
Provides a standardized critical appraisal of a medical research paper for peer-review discussion.
Standardizes raw study results into a uniform format suitable for meta-analysis or systematic review.