Multiple Groups Comparison Test based on Restricted Mean Survival Time
10.11783/j.issn.1002-3674.2024.03.016
- VernacularTitle:基于限制平均生存时间的多组疗效比较
- Author:
Peiyu JIANG
1
;
Jiayi ZHOU
;
Yuntian XU
Author Information
1. 南方医科大学公共卫生学院(广东省热带病研究重点实验室)生物统计学系(510515)
- Keywords:
Restricted mean survival time;
Proportional hazard assumption;
Comparison of multiple groups;
Complementary logarithmic transformation
- From:
Chinese Journal of Health Statistics
2024;41(3):409-413
- CountryChina
- Language:Chinese
-
Abstract:
Objective In clinical follow-up studies,it is the most common method to quantify treatment differences between groups using a hazard ratio(HR).Moreover,restricted mean survival time(RMST)has attracted more and more attention.However,the current statistical inference method based on RMST is mainly used for the comparison between two groups.Methods In this paper,three RMST tests between multiple groups are proposed,including naive,logarithmic transformation and complementary logarithmic transformation.Monte Carlo simulations were performed to evaluate the type I error and power,and a case study was performed.Results Based on the type I errors obtained by Monte Carlo simulation and the test performance results,it is shown that the proposed RMST test can deal with the problem of multiple sets of comparisons,especially the complementary logarithmic transformation method is the most robust.Conclusions For the multi-group comparison of survival data,if the time scale index is considered,the RMST multi-group test by the complementary logarithmic transformation method is recommended.
