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"What exactly are you inferring?" A closer look at hypothesis testing
1College of William & Mary-Virginia Institute of Marine Science, Gloucester Point, VA 23062, USA. newman@vims.edu
Environmental Toxicology and Chemistry
|April 19, 2008
Summary
Statistical significance tests are often misapplied in environmental toxicology, leading to flawed conclusions and regulatory issues. This review recommends using confidence intervals and improving hypothesis testing practices for more reliable scientific insights.
Area of Science:
- Environmental toxicology and chemistry
- Statistical inference
Background:
- Significance testing is frequently misapplied in environmental science.
- This misuse leads to incorrect inferences and unreliable regulatory decisions.
Purpose of the Study:
- To critically review the application of significance tests in environmental toxicology and chemistry.
- To provide recommendations for improving statistical practices in the field.
Main Methods:
- Review of statistical testing theory.
- Formulation of nine recommendations for the application of statistical tests.
Main Results:
- Confidence intervals are recommended as a preferred alternative to hypothesis testing.
- Specific guidelines are provided for hypothesis testing, including defining error rates, effect sizes, and power a priori.
- Emphasis on avoiding confusion between p(E|H0) and p(H0|E) and the importance of publishing negative results.
Conclusions:
- Improved statistical methodologies are crucial for sound scientific conclusions in environmental toxicology.
- Adoption of the proposed recommendations can enhance the validity of research findings and regulatory decisions.
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