Matthews J N
Department of Medical Statistics, University of Newcastle upon Tyne, Medical School, U.K.
Stat Med. 1993 Jan 15;12(1):27-37. doi: 10.1002/sim.4780120105.
A widely used method for the analysis of data collected serially over time is to reduce the data on each subject to a single summary that reflects some salient aspect of the response. The summaries from all subjects are then analysed using appropriate univariate methods. In some cases it may be unreasonable to suppose that summaries in a group share a common distribution. A weighted analysis may be preferable, with data from each subject used to determine the weights. This approach is explored in the context of an analysis of data on foetal distress during labour.
一种广泛用于分析随时间连续收集的数据的方法是，将每个受试者的数据简化为一个反映反应某些显著方面的单一汇总值。然后使用适当的单变量方法对所有受试者的汇总值进行分析。在某些情况下，假设一组中的汇总值具有共同分布可能是不合理的。加权分析可能更可取，其中每个受试者的数据用于确定权重。本文将在分娩期间胎儿窘迫数据分析的背景下探讨这种方法。
