The use of restricted mean time lost under competing risks data.
BMC Med Res Methodol
; 20(1): 197, 2020 07 25.
Article
em En
| MEDLINE
| ID: mdl-32711456
ABSTRACT
BACKGROUND:
Under competing risks, the commonly used sub-distribution hazard ratio (SHR) is not easy to interpret clinically and is valid only under the proportional sub-distribution hazard (SDH) assumption. This paper introduces an alternative statisticalmeasure:
the restricted mean time lost (RMTL).METHODS:
First, the definition and estimation methods of the measures are introduced. Second, based on the differences in RMTLs, a basic difference test (Diff) and a supremum difference test (sDiff) are constructed. Then, the corresponding sample size estimation method is proposed. The statistical properties of the methods and the estimated sample size are evaluated using Monte Carlo simulations, and these methods are also applied to two real examples.RESULTS:
The simulation results show that sDiff performs well and has relatively high test efficiency in most situations. Regarding sample size calculation, sDiff exhibits good performance in various situations. The methods are illustrated using two examples.CONCLUSIONS:
RMTL can meaningfully summarize treatment effects for clinical decision making, which can then be reported with the SDH ratio for competing risks data. The proposed sDiff test and the two calculated sample size formulas have wide applicability and can be considered in real data analysis and trial design.Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Modelos de Riscos Proporcionais
Tipo de estudo:
Etiology_studies
/
Health_economic_evaluation
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Humans
Idioma:
En
Revista:
BMC Med Res Methodol
Assunto da revista:
MEDICINA
Ano de publicação:
2020
Tipo de documento:
Article
País de afiliação:
China