ANALYSIS OF SERIAL MEASUREMENTS IN MEDICAL-RESEARCH
ANALYSIS OF SERIAL MEASUREMENTS IN MEDICAL-RESEARCH
复制标题
DOI：
10.1136/bmj.300.6719.230
复制
发表时间：
1990-01-27
影响因子：
105.7
通讯作者：
ROYSTON, P
中科院分区：
文献类型：
--
作者：
MATTHEWS, JNS;ALTMAN, DG;ROYSTON, P
在医学研究中，常常对受试者连续收集数据。对此类数据的统计分析通常在两个方面存在不足：可能无法解决临床相关问题，且可能在统计学上无效。一种常用的方法是在一系列时间点对各组进行比较，可能使用t检验，但这种方法在这两方面都有缺陷。然而，可能有一种补救方法，即采用一种使用汇总指标的两阶段方法。在第一阶段，为每个受试者确定并计算个体反应的合适汇总指标，比如变化率或曲线下面积。在第二阶段，这些汇总指标通过简单的统计技术进行分析，就好像它们是原始数据一样。这种方法在统计学上是有效的，并且可能与研究问题更相关。如果在规划实验时牢记这种方法，就应该能推动在关键时间有足够受试者和充分观察的研究，从而得出有用的结论。使用汇总指标分析连续测量值虽然不是新方法，但在医学研究中可能是一种有用且简单的工具。
In medical research data are often collected serially on subjects. The statistical analysis of such data is often inadequate in two ways: it may fail to settle clinically relevant questions and it may be statistically invalid. A commonly used method which compares groups at a series of time points, possibly with t tests, is flawed on both counts. There may, however, be a remedy, which takes the form of a two stage method that uses summary measures. In the first stage a suitable summary of the response in an individual, such as a rate of change or an area under a curve, is identified and calculated for each subject. In the second stage these summary measures are analysed by simple statistical techniques as though they were raw data. The method is statistically valid and likely to be more relevant to the study questions. If this method is borne in mind when the experiment is being planned it should promote studies with enough subjects and sufficient observations at critical times to enable useful conclusions to be drawn. Use of summary measures to analyse serial measurements, though not new, is potentially a useful and simple tool in medical research.