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A note on the power of Fisher's least significant difference procedure
1Department of Medical Data Services/Clinical Biostatistics, Boehringer Ingelheim Pharma GmbH and Co. KG, Ingelheim am Rhein, Germany. meieru@ing.boehringer-ingelheim.com
Fisher's least significant difference (LSD) procedure may have lower power in its global test for clinical trials. Researchers should consider potential power loss when planning phase III trials using Fisher's LSD.
Area of Science:
- Biostatistics
- Clinical Trial Design
- Statistical Inference
Background:
- Fisher's least significant difference (LSD) is a two-step procedure for multiple comparisons.
- It involves a global test followed by pairwise comparisons if the global null hypothesis is rejected.
- Fisher's LSD preserves experimentwise type I error rate only when exactly three treatment groups are compared.
Purpose of the Study:
- To examine the power properties of Fisher's LSD procedure in phase III clinical trials.
- To assess the impact of the global test on the overall power of the procedure.
- To compare sample size requirements for Fisher's LSD versus Bonferroni adjustment for achieving desired power.
Main Methods:
- Analysis of the power of the first-step global test in Fisher's LSD procedure.
- Evaluation of the overall procedure's power in the context of pairwise comparisons.
- Comparison of sample size calculations for Fisher's LSD and Bonferroni alpha adjustment.
Main Results:
- The power of the initial global test in Fisher's LSD can be substantially lower than pairwise comparison power.
- Achieving desired power for a specific comparison may necessitate larger sample sizes with Fisher's LSD compared to Bonferroni adjustment.
- The power loss is dependent on the effect size in less favorable dose groups.
Conclusions:
- Fisher's LSD procedure's global test can lead to reduced statistical power in phase III clinical trials.
- Potential power deficits should be carefully considered during study planning when using Fisher's LSD to avoid alpha adjustments.
- Alternative methods or careful sample size calculation are recommended to mitigate power loss.
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