中国临床药理学与治疗学2012，Vol.17Issue(7)：761-767,7.
中位数差值及置信区间的两种非参数计算方法及比较
Two non-parametric methods and its comparation for calculating median difference and its confidence interval
摘要
Abstract
AIM:To introduce two nonpara-metric methods ( Bootstrap and Hodges-Leh-mann) for calculating median difference and its confidence interval; the results of these two methods were compared under three pairs of data from three different distributions, and the reason of the difference was discussed. METHODS: Two groups of data were generated from each normal, lognormal and bimodal distribution by computer simulation. The median difference and its confidence interval of each pair were calculated by the two nonparametric methods. This process was repeated for 500 times. RESULTS: The results of the two methods were nearly when data follow normal distribution and it's also agree with the results of parametric method by using mean instead median. For lognormal dis- tribution, the estimated value of median difference and its confidences interval calculated by Bootstrap was larger than the results of Hodges-Lehmann. The results of the two methods was nearly when data distribution was symmetric while the confidence interval was slightly different. CONCLUSION: The two methods are coincident in symmetric distribution. However, Bootstrap emphasizes the position of median while Hodges-Lehmann cares the variance in the case of asymmetric distribution.关键词
非参数检验/中位数差值置信区间/Bootstrap/Hodges-LehmannKey words
Nonparametric tests/ Confidence interval of median difference/Bootstrap/ HodgesLehmann分类
医药卫生引用本文复制引用
李云飞,王鲲,黄继汉,盛玉成,何迎春,郑青山..中位数差值及置信区间的两种非参数计算方法及比较[J].中国临床药理学与治疗学,2012,17(7):761-767,7.基金项目
上海市教委基金资助项目(09JW17) （09JW17）
上海市教委创新项目(10YZ61) （10YZ61）
上海市教委E研究院建设计划项目(E03008) （E03008）
高等学校博士学科点专项科研基金项目(20103107120014) （20103107120014）
