Tutorial: Using Confidence Curves in Medical Research
Tutorial: Using Confidence Curves in Medical Research
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教程：在医学研究中使用置信曲线
DOI：
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发表时间：
2005
期刊：
影响因子：
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通讯作者：
H. Zeeb
中科院分区：
文献类型：
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作者：
R. Bender;G. Berg;H. Zeeb
置信区间是一种常规使用的标准方法，用于记录估计效应的不确定性。在大多数情况下，对于置信区间的计算，使用传统的固定95%置信水平。置信曲线表示置信水平在0和100%之间变化的置信区间的图形说明。尽管在过去的40年里，这种图以不同的名称被反复提出，但置信曲线很少用于医学研究。在本文中，我们介绍了置信曲线，并提出了一个简短的历史回顾。我们提请注意单侧和双侧统计推断的不同解释。结果表明，这两个选项也有影响适当的置信曲线的绘制。我们举例说明了单侧和双侧置信曲线的使用，并解释了它们的正确解释。在医学研究中，应该更加强调单边和双边方法之间的选择。单侧和双侧置信曲线是对传统研究结果呈现方法的有益补充。（© 2005 WILEY‐VCH Verlag GmbH & Co. KGaA，魏因海姆）
Confidence intervals represent a routinely used standard method to document the uncertainty of estimated effects. In most cases, for the calculation of confidence intervals the conventional fixed 95% confidence level is used. Confidence curves represent a graphical illustration of confidence intervals for confidence levels varying between 0 and 100%. Although such graphs have been repeatedly proposed under different names during the last 40 years, confidence curves are rarely used in medical research. In this paper, we introduce confidence curves and present a short historical review. We draw attention to the different interpretation of one‐ and two‐sided statistical inference. It is shown that these two options also have influence on the plotting of appropriate confidence curves. We illustrate the use of one‐ and two‐sided confidence curves and explain their correct interpretation. In medical research more emphasis on the choice between the one‐ and two‐sided approaches should be given. One‐ and two‐sided confidence curves are useful complements to the conventional methods of presenting study results. (© 2005 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)