标准误差/标准偏差混合:对体育医学元分析的潜在影响
1University of Essex, Wivenhoe Park, Colchester, CO43SQ, UK. gavins@essex.ac.uk.
Sports medicine (Auckland, N.Z.)
|January 25, 2024
概括
在元分析中,统计错误很常见. 这项研究发现,将标准误差 (SE) 与标准偏差 (SD) 混加大了足球对有氧健身影响的效应大小估计,凸显了警的必要性.
科学领域:
- 运动医学 运动医学
- 生物统计学 生物统计学
- 研究方法研究方法研究方法学
背景情况:
- 显著的百分比的元分析含有统计错误,常见的SE/SD混是一个普遍的问题.
- 在计算效应大小时,SE/SD混涉及错误地使用标准误差 (SE) 而不是标准偏差 (SD).
研究的目的:
- 评估SE/SD混杂对有关娱乐足球干预措施的突出元分析的影响.
- 通过检查体育医学随机对照试验 (RCT) 中样本变异性的报告来确定SE/SD混杂的潜在来源.
主要方法:
- 2015年关于休足球和有氧健身的元分析重新检查了SE/SD混.
- 纠正了效应大小,重新分析了数据,并与原始发现相比,将估计数据汇总起来.
- 来自七个体育医学期刊的RCT的文本挖掘评估了SE报告频率与SD的样本变异性.
主要成果:
- 在元分析中,在16个效果大小中的9个中发现了SE/SD混.
- 对SE/SD混杂的纠正显著减少了足球干预对有氧健身的综合效应大小 (SMD 1.46至0.54).
- 足球与跑步干预的效果,最初是显著的,在对SE/SD混杂进行校正后 (SMD 0.68至0.20) 变得无意义.
- 大约19.3%的体育医学RCT报告SE而不是SD的样本变异性,在杂志上存在差异.
结论:
- 在经过检查的元分析中,SE/SD混明显膨胀了效应大小估计.
- 超分析师必须保持警,以防止误算效应大小.
- 研究人员,评论员和编辑应该积极阻止报告SE作为体育医学样本变异性的衡量标准.
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