Weiss B
University of Rochester School of Medicine and Dentistry, New York 14642, USA.
Environ Health Perspect. 1997 Mar;105 Suppl 2(Suppl 2):487-94. doi: 10.1289/ehp.97105s2487.
Skepticism about the validity of the multiple chemical sensitivity (MCS) syndrome stems in part from the lack of supporting experimental data. Performing the relevant experiments requires investigators to take account of broad variations in sensitivity and the need to establish reproducibility. The research approach best suited for MCS studies is the single-subject design. In contrast with conventional group designs, such designs emphasize repeated observations on individual subjects. Repeated observations of this kind constitute a time series in which successive measurements are serially or autocorrelated. One statistical method that bypasses the serial correlation problem is randomization tests. Explicit time series analyses take account of this aspect and can correct for it to determine the impact of an intervention such as a chemical exposure.
对多重化学敏感性(MCS)综合征有效性的怀疑部分源于缺乏支持性实验数据。进行相关实验要求研究者考虑敏感性的广泛差异以及建立可重复性的必要性。最适合MCS研究的研究方法是单受试者设计。与传统的组设计不同,此类设计强调对个体受试者的重复观察。这种重复观察构成一个时间序列,其中连续测量是序列相关或自相关的。一种绕过序列相关问题的统计方法是随机化检验。明确的时间序列分析考虑到了这一方面,并可以对此进行校正以确定诸如化学暴露等干预措施的影响。