Combining Weighted P-Values for Stability
Author Information
Author(s): Alves Gelio, Yu Yi-Kuo
Primary Institution: National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health
Hypothesis
Can a systematic expansion method be developed to combine weighted p-values while maintaining computational stability?
Conclusion
The study presents a new method for combining weighted p-values that ensures both accurate statistics and stable computations, even when weights are nearly degenerate.
Supporting Evidence
- The new method provides a systematic way to combine p-values.
- It addresses the issue of numerical instability when weights are nearly degenerate.
- The approach is applicable across various scientific disciplines.
Takeaway
This study shows a way to combine different statistical tests into one result without making mistakes, even when the tests are very similar.
Methodology
The authors derived a controlled expansion for combining p-values from different groups, ensuring numerical stability and accuracy.
Limitations
The method assumes that the p-values being combined are independent, which may not always be the case in real applications.
Digital Object Identifier (DOI)
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