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Randomization Inference/Evidence
Method evidence record

Randomization Inference

Randomization inference, introduced by Ronald A. Fisher in The Design of Experiments (1935), computes an exact p-value by evaluating a test statistic across all possible treatment assignments under Fisher's sharp null hypothesis. It is regarded as the gold standard for analysing designed experiments because its validity rests on the known assignment mechanism rather than on distributional assumptions.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Fisher Exact Randomization Inference
Taxonomic method record · regression-model / statistics
  • Fisher, R. A. (1935). The Design of Experiments. Oliver & Boyd. · URL
  • Imbens, G. W. & Rubin, D. B. (2015). Causal Inference for Statistics, Social, and Biomedical Sciences. Cambridge University Press. · ISBN 978-0521885881
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Same method familyBootstrap Inferencemachine-suggested · Relational suggestion, not evidence.Same method familyJackknifemachine-suggested · Relational suggestion, not evidence.Same method familyNonparametric Quantile Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyOLS Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyPermutation Testmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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