翻译价值观的困境和智慧:加强科学有效性的合作方法
1Clinical Research Centre, National Institutes of Health, Sarawak General Hospital, Ministry of Health Malaysia, Kuching, Sarawak, Malaysia.
BioMed research international
|April 9, 2025
概括
p值是一个常见但有争议的统计工具. 这项研究强调了它的局限性,并提出了一个检查清单,以更好地解释研究中的统计证据.
科学领域:
- 科学研究中的统计数据.
- 统计推理 统计推理
- 研究方法研究方法研究方法学
背景情况:
- 经常使用p值来评估研究结果与零假设对比.
- 然而,单独的p值并不表明效应的大小或统计精度,这导致了解释挑战.
- 错误地应用p值可能会对政策,临床实践和科学传播产生负面影响.
研究的目的:
- 批判性地研究将p值转化为有意义的科学推断所面临的挑战.
- 为了说明误解p值如何导致错误的结论,并指导研究实践.
- 提出一个合作框架,以改善统计证据的解释.
主要方法:
- 批判性地检查p值在统计推理中的作用.
- 使用说明性示例来证明p值错误应用的后果.
- 制定一个全面的检查清单,以清晰地记录和评估统计证据.
主要成果:
- P值提供了关于效应强度和统计精度的有限信息.
- 误解p值可能导致错误的科学话语和决策.
- 一种协作方法和标准化检查清单可以增强对统计证据的细微理解.
结论:
- 对统计证据的细微解释对于科学有效性至关重要.
- 采用涉及研究人员和审稿人的协作方法可以减轻p值的误解.
- 实施检查清单促进了更清晰的文档和批判性评估,推动了有意义的科学进步.
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