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Prediction interval analysis is underutilized and can be more helpful than just confidence interval analysis.

机译:预测间隔分析未得到充分利用,比置信区间分析更有帮助。

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Prediction interval analysis (PIA) is a statistical technique that seems to be little known in the anesthesia community and appears infrequently in our literature. I performed a PubMed search and found only three articles in Anesthe-siology since 2005, none in 2007 nor 2008 to date, that used prediction intervals. Anecdotally, when queried, I find that it is very rare that a clinical anesthesiologist or researcher is aware of PIA. This letter is intended to bring PIA to wider attention, introduce concepts with a hypothetical example, demonstrate with a published example (in an agreement study) its potential benefits, and to encourage its wider use. Confidence intervals (CI) are well known and commonly used in our literature. Some of the differences between CI and prediction intervals (PI) will be contrasted.
机译:预测间隔分析(PIA)是一种统计技术,在麻醉界似乎鲜为人知,并且在我们的文献中很少出现。我进行了PubMed搜索,发现自2005年以来在麻醉学中只有三篇文章使用预测间隔,在2007年和2008年至今都没有。有趣的是,当我被查询时,我发现临床麻醉学家或研究人员很少意识到PIA。这封信旨在引起PIA的广泛关注,用一个假设的例子介绍概念,并通过一个公开的例子(在协议研究中)证明其潜在的好处,并鼓励其广泛使用。置信区间(CI)是众所周知的,并且在我们的文献中经常使用。 CI和预测间隔(PI)之间的一些差异将进行对比。

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