卫生研究人员的线性回归报告实践,一个横截面元研究研究
Lee Jones1,2,3, Adrian Barnett2, Dimitrios Vagenas1
1Research Methods Group, Faculty of Health, School of Public Health and Social Work, Queensland University of Technology, Kelvin Grove, Queensland, Australia.
PloS one
|March 20, 2025
概括
卫生研究中的统计方法报告不足,阻碍了治疗有效性的评估. 改善统计报告和让统计学家参与研究周期对于可靠的健康证据至关重要.
科学领域:
- 卫生研究方法论 卫生研究方法论
- 统计报告标准 统计报告标准
背景情况:
- 医疗保健决策依赖于已发表的研究证据.
- 在健康研究中,不良的统计报告可能导致不有效或有害的治疗.
- 不完整的报告阻碍了方法评估和结果解释.
研究的目的:
- 评估卫生研究当前的统计报告实践.
- 确定统计报告需要改进的领域.
- 为研究人员提供关于统计报告的教育信息.
主要方法:
- 分析了来自PLOS ONE (2019) 的95篇随机采样的健康论文,用于线性回归报告.
- 论文被随机分配用于出版后的统计审查.
- 使用频率,百分比和置信区间来描述报告实践的普遍性.
主要成果:
- 92%的人报告了p值,81%的人报告了回归系数.
- 只有58%的人报告了不确定性指标 (置信区间/标准错误).
- 69%的人没有讨论科学重要性;23%的人解释系数大小.
结论:
- 统计方法和结果往往报告不好,缺乏可复制性.
- 建议统计师在整个研究周期中参与.
- 建议标准化报告模板和检查清单以提高质量.
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