Statistical methods for comparing survival rates at a fixed time point

VernacularTitle:固定点处组间生存率比较的统计检验法
Author: Jinbao CHEN ¹ ; Libin QIU ; Beiqi WANG ; Jie ZENG ; Zheng CHEN
Author Information

1. 南方医科大学公共卫生与热带医学学院生物统计系
Keywords: Survival curves; Comparison of survival rates between groups; Kaplan-Meier estimate; Fixed time point
From: Chinese Journal of Epidemiology 2015;36(2):186-188
CountryChina
Language:Chinese
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.