哪个测试最好:评估传统和当代的统计测试用于分析球体等价预测错误
Nathan T Cannon1, Giacomo Savini2, Seth M Pantanelli1
1From the Department of Ophthalmology, Penn State College of Medicine (N.T.C., S.M.P.), Hershey, Pennsylvania, USA.
American journal of ophthalmology
|February 8, 2025
概括
这项研究评估了白内障手术预测错误的统计测试. 某些测试,如威尔科克斯-霍拉代-旺科赫 (WHWK) 和恩,在分析折射结果时显示出更好的意义和自我一致性.
科学领域:
- 眼科医生 眼科 眼科
- 生物统计学 生物统计学
- 统计分析 统计分析
背景情况:
- 白内障手术的结果是使用球形等效预测误差 (SEQ-PE) 进行评估的.
- 评估用于分析SEQ-PE的统计方法对于准确的绩效评估至关重要.
研究的目的:
- 为了比较传统和当代统计测试的性能,以分析白内障手术后的SEQ-PE.
- 在SEQ-PE分析中评估测试意义和自我一致性.
主要方法:
- 分析了接受白内障手术的7839只眼睛的数据.
- 通过使用弗里德曼后 hoc Dunn,Cochran Q后 hoc McNemar,Eyetemis和Wilcox-Holladay-Wang-Koch (WHWK) 统计测试,评估了六种功率预测公式.
- 这些指标包括平均绝对误差 (MAE),中位数绝对误差 (MedAE),标准偏差 (SD),根平均平方绝对误差 (RMSAE) 和眼睛在0.50二光度 (D) 内的比例.
主要成果:
- 威尔科克斯-霍拉代-旺科赫 (WHWK) 和恩测试在百分比显著性和显著性指数方面显示出更高的稳定性.
- WHWK.MAE,WHWK.SD,Eyetemis.MAE,WHWK.RMSAE和Dunn.MAE是表现最好的公司之一.
- 在较小的样本大小 (<100只眼睛) 中,Dunn.MAE显示出最好的不一致率.
结论:
- 性能最好的统计测试 (WHWK,Dunn) 产生了更显著和自我一致的结果.
- WHWK.MAE和McNemar的整体表现分别是最高和最低.
- 对于150只眼睛以下的样本大小,建议使用Dunn.MAE.
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