Comment on: Epidermolysis Bullosa Pruriginosa: A Systematic Review Exploring Genotype–Phenotype Correlation
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Summary
It is argued that all three of those justifications for not adjusting for multiple comparisons are irrelevant to the need for multiplicity adjustment, and that researchers should be wary of popular statistical heuristics that are not supported by statistical literature.
- Type
- review
- Published
- 2015-07-18
- Cited by
- 2
- References
- 17
- OpenAlex
- https://openalex.org/W925569546
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:10002224
Keywords
Epidermolysis bullosa, Medicine, Dermatology, Phenotype, Pharmacotherapy
References
- Statistical Analysis of Designed Experiments: Theory and Applications
- Multiple testing problems in pharmaceutical statistics.
- Power and Type I Error Control for Univariate Comparisons in Multivariate Two-Group Designs
- Epidermolysis Bullosa Pruriginosa: A Systematic Review Exploring Genotype–Phenotype Correlation
- No Adjustments Are Needed for Multiple Comparisons
- Simultaneous and selective inference: Current successes and future challenges
- Other method for adjustment of multiple testing exists
- When to use the Bonferroni correction
- An improved Bonferroni procedure for multiple tests of significance
- Multiple hypothesis testing in genomics
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- Multiple comparisons in psychological research.
- Multiple comparisons
- [Post hoc].
- What's wrong with Bonferroni adjustments
- Multiple Testing Problems in Pharmaceutical Statistics
- Multiple Comparisons
- Multiple Comparisons
- Statistical Analysis of Designed Experiments
- Multiple testing methodology
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