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Picking apart p values: common problems and points of confusion
Sophia J Madjarova1, Riley J Williams1, Benedict U Nwachukwu1
1Department of Orthopedic Surgery & Sports Medicine, Hospital for Special Surgery, 535 East 70 th Street, New York, NY, 10021, USA.
Summary
This editorial clarifies common p-value misconceptions and their misuse in research. It addresses statistical significance, p-hacking, and fragility to improve statistical literacy, particularly in orthopedic research.
Area of Science:
- Statistics in Medical Research
- Orthopedic Research Methodology
Background:
- The p-value is frequently misused, leading to significant contention within the scientific community.
- Misinterpretation of p-values carries hazardous implications for research integrity and findings.
Discussion:
- This editorial addresses common misconceptions surrounding p-value interpretation.
- It critically examines issues like p-hacking and statistical fragility, which undermine robust scientific conclusions.
- Strategies for mitigating these statistical challenges are proposed.
Key Insights:
- Understanding the correct interpretation of p-values is crucial for accurate statistical significance assessment.
- Awareness of p-hacking and statistical fragility is essential to prevent biased or unreliable research outcomes.
- Enhanced statistical literacy is vital for researchers, especially in specialized fields like orthopedics.
Outlook:
- Promoting accurate statistical understanding can lead to more reliable and reproducible research.
- Continued dialogue and education on statistical concepts are necessary to uphold scientific rigor.
- The goal is to foster a research environment where statistical significance is appropriately understood and applied.
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