Repeatability

Alan J. Silman, Gary J. Macfarlane, Tatiana V Macfarlane
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引用次数: 15

Abstract

There are many sources of variability in measures in epidemiology. Subjects can vary in their response because of real change. Alternatively, the method of collecting data may be subject to variability because of differences in techniques or the inherent difficulty in some measures in ensuring consistency. Too much variability can introduce ‘noise’, making it difficult to find differences between populations. There may be a variety of reasons for failure to obtain consistent or reproducible results. This chapter describes various methods which can be employed to calculate the level of variability in measures used and how to minimize the sources of this.
可重复性
在流行病学测量中有许多可变性的来源。由于真实的变化,受试者的反应可能会有所不同。或者,由于技术上的差异或某些措施在确保一致性方面的固有困难,收集数据的方法可能会发生变化。太多的变异会带来“噪音”,使得很难发现种群之间的差异。可能有多种原因导致不能获得一致或可重复的结果。本章描述了可用于计算所使用的测量方法的可变性水平的各种方法,以及如何最大限度地减少可变性的来源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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