如何解决数据丢失之类的问题?紧急情况下疼痛解决方案(PASTIES)试验的经验教训

J. Smith, S. Creanor, M. Rockett, P. Ewings
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引用次数: 0

摘要

当研究在一段时间内纵向测量治疗的效果时,会产生多个数据点,但有时是不完整的。这可能会影响一系列不同环境下的研究,包括对军人患者的研究。在分析此类研究的数据时,其中一个挑战是如何在最终分析中处理缺失的数据点。本文描述了在这种情况下处理缺失数据点的可能不同方法,并概述了在最近的紧急情况下疼痛解决方案(PASTIES)试验中用于处理缺失疼痛评分的一些实用方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How do you solve a problem like… missing data? Lessons from the PAin SoluTions In the Emergency Setting (PASTIES) trials
When studies measure the effect of a treatment longitudinally over time, multiple data points are generated, but are sometimes incomplete. This may affect studies in a range of different settings, including studies on military patients. When analysing the data from such a study, one of the challenges is how to deal with missing data points in the final analysis. This article describes the possible different ways of dealing with missing data points in such a context, and outlines some pragmatic methods used for handling missing pain scores in the recent PAin SoluTions In the Emergency Setting (PASTIES) trials.
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