An Evaluation of Multiple Comparison Procedures for Proportions: A Monte Carlo Study

机译：比例的多个比较程序的评估：蒙特卡洛研究

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Multiple comparison procedures (MCP) for proportions are used to indentify the significant differences between pairs of groups after the Chi-square test results in a p-value of 0.05 or smaller when more than two groups are compared. In order to choose the most appropriate MCP, 7 representative MCPs were selected and evaluated in Type I error, Type II error and correct decision rate using Monte-Carlo simulation. Results indicated that if the significance level needs to be controlled within 0.05, Hochberg would be the first choice; if the significance level is allowed within 0.1, the recommended MCP would be Tukey-Kramer with a sample whose size is smaller than 20 and SNK. or FDR when a sample's size bigger than 20. SNK and Tukey-Cramer would be recommended when there are more than 4 groups.

机译：当对两个以上的组进行比较时，在卡方检验结果的p值等于或小于0.05时，使用比例的多重比较程序（MCP）来确定两组对之间的显着差异。为了选择最合适的MCP，选择了7个具有代表性的MCP，并使用蒙特卡洛模拟对I型误差，II型误差和正确的决策率进行了评估。结果表明，如果需要将显着性水平控制在0.05以内，Hochberg将是首选。如果允许的显着性水平在0.1之内，则推荐的MCP将是Tukey-Kramer，且样本大小小于20，且SNK。或样本大小大于20的FDR。如果有四个以上的组，则建议使用SNK和Tukey-Cramer。

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来源
《Comprehensive evaluation of economy and society with statistical science.》|2010年|p.634-640|共7页
会议地点 Weihai(CN);Weihai(CN)
作者
SUN Hongwei; XU Tianhe; HAN Chunlei;
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作者单位

Department of Health Statistics and Epidemiology, Binzhou Medical University, Yantai, P.R.China, 264003;

Department of Journals, Binzhou Medical University, Yantai, P.R.China, 264003;

Department of Health Statistics and Epidemiology, Binzhou Medical University, Yantai, P.R.China, 264003;

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会议组织
原文格式 PDF
正文语种 eng
中图分类经济统计学;经济统计学;
关键词
multiple comparison procedures; monte carlo simulation; FEW; CP;

机译：多重比较程序；蒙特卡洛模拟FEW; CP;

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An Evaluation of Multiple Comparison Procedures for Proportions: A Monte Carlo Study

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