| 陈金宝,邱李斌,王北琪,曾洁,陈征.固定点处组间生存率比较的统计检验法[J].Chinese journal of Epidemiology,2015,36(2):186-188 |
| 固定点处组间生存率比较的统计检验法 |
| Statistical methods for comparing survival rates at a fixed time point |
| Received:September 27, 2014 |
| DOI：10.3760/cma.j.issn.0254-6450.2015.02.019 |
| KeyWord: 生存曲线 组间生存率比较 Kaplan-Meier估计 固定点 |
| English Key Word: Survival curves Comparison of survival rates between groups Kaplan-Meier estimate Fixed time point |
| FundProject:国家自然科学基金(81202288); 广州市科技计划(2012J5100023); 高等学校博士学科点专项科研基金(20114433120010); 广东省大学创业创新训练计划(1212113039) |
| Author Name | Affiliation | E-mail | | Chen Jinbao | The Department of Biostatistics, School of Public Health and Tropical Medicine, Southern Medical University, Guangzhou 510515, China | | | Qiu Libin | The Department of Biostatistics, School of Public Health and Tropical Medicine, Southern Medical University, Guangzhou 510515, China | | | Wang Beiqi | The Department of Biostatistics, School of Public Health and Tropical Medicine, Southern Medical University, Guangzhou 510515, China | | | Zeng Jie | The Department of Biostatistics, School of Public Health and Tropical Medicine, Southern Medical University, Guangzhou 510515, China | | | Chen Zheng | The Department of Biostatistics, School of Public Health and Tropical Medicine, Southern Medical University, Guangzhou 510515, China | zchen@smu.edu.cn |
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| Abstract: |
| 组间生存曲线的比较是研究疾病预后的重要内容,目前常用Log-rank检验,但当生存曲线交叉或者两曲线后期开口较大,即比例假设不成立时,采用该法则失效。为此本文讨论适用这种情形的比较法。介绍两条生存曲线某固定点处生存率比较的5种(经典法、对数转换法、cloglog转换法、反正弦转换法和logit转换法)统计检验方法。通过实例分析发现,若用组间生存曲线整体检验的Log-rank检验法或Two-stage检验法均很难对两组生存率比较给出合理的结果,而选取几个固定点进行检验时,可得到固定时间点上组间生存率差异是否有统计学意义。在5种固定点时刻的检验方法中,以cloglog转换法最佳。 |
| English Abstract: |
| Comparison of survival curves between two groups is an important part of disease prognosis study. Log-rank test is commonly used,but when the two curves' later intersecting opening is too large,the proportion of assumptions is not established,thus the Log-rank test is ineffective. We introduces five statistical tests to compare two survival curves at a fixed time points:classic method,logarithmic transformation,cloglog transformation,arcsine transformation and logit transformation. Through the study we found that if the overall survival curves are difficult to compare between groups tested with Log-rank test method or Two-stage test method,the fixed time point test can effectively determine whether there was significant difference in survival rate at a fixed time point. Among the five fixed time point tests,cloglog transformation could give more precise result. |
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