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Review advances in multiple comparison procedures for pairwise contrasts in biomedical studies to address the inflated risk of family-wise type 1 error.

December 1, 1998Clinical and Experimental Pharmacology and Physiology

Multiple Comparison Procedures Updated

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JLJohn LudbrookSouth Australia Pathology

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Implication

Methodological review evaluates multiple comparison procedures in biomedical research, highlighting stepwise methods like Holm's procedure for controlling type 1 errors with improved statistical...

Key Points

Review advances in multiple comparison procedures for pairwise contrasts in biomedical studies to address the inflated risk of family-wise type 1 error.
Evaluated conventional one-step multiple comparison procedures, including Bonferroni, Šidák, Tukey-Kramer, and Dunnett tests.
Analyzed the properties and performance of modern step-wise procedures based on Bonferroni and Šidák inequalities across continuous, ordinal, and categorical data.
Step-wise multiple comparison procedures match one-step methods in controlling family-wise type 1 error while yielding greater statistical power, especially when hypotheses are logically related.
Holm's step-down procedure delivers an optimal balance of accuracy, power, and versatility across data types, with adjustments computable by hand from raw p-values.
Experimental designs structured around a single global hypothesis remain superior to post-hoc multiple testing adjustments.

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John Ludbrook (1998) studied this question.

synapsesocial.com/papers/69de50407ed287395e5586ff https://doi.org/10.1111/j.1440-1681.1998.tb02179.x

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Implication

Methodological review evaluates multiple comparison procedures in biomedical research, highlighting stepwise methods like Holm's procedure for controlling type 1 errors with improved statistical...

Multiple Comparison Procedures Updated

Discussion

Member takes

Implication

Key Points

Cite This Study

Multiple Comparison Procedures Updated

Discussion

Member takes

Implication

Key Points

Cite This Study

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