中国临床药理学与治疗学2011，Vol.16Issue(11)：1266-1271,6.
同秩和高比例删失情况下多组生存率的比较
Comparison on multiple survival rates based on tied and heavy censoring data
摘要
Abstract
Logrank test and Cox model were usually applied to compare multiple survival rates. A mistake maybe takes when data are tied or/and all data are censor. How to analyze these data is a problem. Based on a clinical trial example, Discrete, Breslow, Efron and Exact methods were discussed with tied data. Discrete method is best when time is discrete. Otherwise, Exact is best. In addition, data analysiswith heavy censoring was explored. When one group is total censor Wald test is unreliable. However, LR test and Score test or logrank test is acceptable. Chi-square test is another choice to analyze survival rates with heavy censoring.关键词
logrank检验/Cox模型/同秩/高比例删失Key words
Logrank test/ Cox model/ Ties/ Heavy censoring分类
医药卫生引用本文复制引用
李婵娟,王锐,蒋志伟,夏结来..同秩和高比例删失情况下多组生存率的比较[J].中国临床药理学与治疗学,2011,16(11):1266-1271,6.基金项目
国家自然科学基金资助项目(81001290) （81001290）
