No Adjustments Are Needed for Multiple Comparisons
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Summary
A policy of not making adjustments for multiple comparisons is preferable because it will lead to fewer errors of interpretation when the data under evaluation are not random numbers but actual observations on nature.
- Type
- article
- Published
- 1990-01-01
- Cited by
- 5,919
- References
- 9
- OpenAlex
- https://openalex.org/W1984486655
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:5824330
Keywords
Null hypothesis, Null (SQL), Type I and type II errors, Alternative hypothesis, Econometrics
References
- What Does It Mean to Be Random?: A new theory of randomness multipliers may explain what randomness is and why most phenomena that are thought to be random are not so random after all.
- Summing Up: The Science of Reviewing Research Harvard University Press: Cambridge, MA, 1984, xiii+191 pp
- Medical uses of statistics
- Exploring Data Tables, Trends and Shapes.
- Using the Environment to Explain and Predict Mortality
- Comparing the means of several groups.
- The World of Mathematics
- The World of Mathematics
- Scientific Method
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- Semi-Bayes and empirical Bayes adjustment methods for multiple comparisons.
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