Research on the Transformation Method of Restricted Mean Time Lost with Competing Risks Data Under Small Samples
10.11783/j.issn.1002-3674.2024.05.010
- VernacularTitle:小样本下竞争风险限制平均损失时间的转换法研究
- Author:
Jiaqiao REN
1
;
Zijian HEI
;
Lei YU
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 time lost;
Competing risks;
Hypothesis test;
Small sample size;
Logit transformation
- From:
Chinese Journal of Health Statistics
2024;41(5):682-685,690
- CountryChina
- Language:Chinese
-
Abstract:
Objective When the competition risk exists,the method based on restricted mean time lost(RMTL)has fewer model assumptions and more intuitive explanation.The intergroup effect size is RMTL difference(RMTLd).The corresponding hypothesis test is based on large samples,but the performance effect under small samples is unknown.Methods In this study,we explore the performance of RMTLd under small samples,and develop several variable conversion methods of RMTL to improve the statistical performance,and evaluate their type I error and power in different situations by Monte-Carlo simulation.Results In the case of small samples,the original method of RMTLd test has the phenomenon of type I error expansion,while the logic transformation method,which is one of the four transformation methods,can maintain good statistical performance.Conclusion When analyzing small sample competitive risk data,it is recommended to use the logical transformation of RMTL for statistical analysis.
