Pearl D L, Louie M, Chui L, Doré K, Grimsrud K M, Martin S W, Michel P, Svenson L W, McEwen S A
Department of Population Medicine, University of Guelph, Guelph, Ontario, Canada.
Epidemiol Infect. 2007 Jan;135(1):100-9. doi: 10.1017/S0950268806006650. Epub 2006 Jun 2.
Using isolates from reported cases of Escherichia coli O157 from Alberta, Canada in 2002, we applied randomization tests to determine if cases associated with an outbreak or statistical space-time cluster had more similar pulsed-field gel electrophoresis patterns, based on Dice coefficients, than expected by chance alone. Within each outbreak and space-time cluster, we assessed the mean, median, 25th percentile, 75th percentile, standard deviation, coefficient of variation, and interquartile range of the Dice coefficients of each pairwise comparison among the isolates. To assess the statistical significance of measures of location (e.g. mean) and variation (e.g. standard deviation) we created randomization distributions using all isolates or only isolates from sporadic cases. We determined that randomization tests are an appropriate tool for evaluating the similarity among isolates from cases that have been linked epidemiologically or statistically. We found little difference between using all cases or only sporadic cases when creating our randomization distributions.
我们使用了2002年从加拿大艾伯塔省报告的大肠杆菌O157病例中分离出的菌株,应用随机化检验来确定与暴发或统计时空聚集相关的病例,基于戴斯系数,其脉冲场凝胶电泳图谱是否比仅由偶然因素预期的更为相似。在每次暴发和时空聚集中,我们评估了各菌株间每对比较的戴斯系数的均值、中位数、第25百分位数、第75百分位数、标准差、变异系数和四分位距。为了评估位置度量(如均值)和变异度量(如标准差)的统计学显著性,我们使用所有菌株或仅使用散发病例的菌株创建随机化分布。我们确定随机化检验是评估来自在流行病学或统计学上有联系的病例的菌株间相似性的合适工具。我们发现在创建随机化分布时使用所有病例或仅使用散发病例之间几乎没有差异。