Estimating restricted mean survival time and expected life-years lost in the presence of competing risks within flexible parametric survival models

被引:0
作者
Sarwar I. Mozumder
Mark J. Rutherford
Paul C. Lambert
机构
[1] Biostatistics Research Group,
[2] Department of Health Sciences,undefined
[3] University of Leicester,undefined
[4] Department of Medical Epidemiology and Biostatistics,undefined
[5] Karolinska Institutet,undefined
来源
BMC Medical Research Methodology | / 21卷
关键词
Competing risks; Restricted mean survival time; Restricted mean life time; Flexible parametric model; Life-years lost; Survival analysis;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 161 条
[1]  
Putter H(2007)Tutorial in biostatistics: competing risks and multi-state models Stat Med 26 2389-430
[2]  
Fiocco M(2013)Decomposition of number of life years lost according to causes of death Stat Med 32 5278-85
[3]  
Geskus R(2014)Competing risks analyses: objectives and approaches Eur Heart J 35 2936-41
[4]  
Andersen P(2017)Direct likelihood inference on the cause-specific cumulative incidence function: A flexible parametric regression modelling approach Stat Med 37 82-97
[5]  
Wolbers M(2016)Flexible parametric modelling of the cause-specific cumulative incidence function Stat Med 36 1429-46
[6]  
Koller M(2005)Long-term survival with non-proportional hazards: results from the Dutch gastric cancer trial Stat Med 24 2807-21
[7]  
Stel V(2002)Flexible parametric proportional-hazards and proportional-odds models for censored survival data, with application to prognostic modelling and estimation of treatment effects Stat Med 21 2175-97
[8]  
Schaer B(2007)A new proposal for multivariable modelling of time-varying effects in survival data based on fractional polynomial time-transformation Biom J 49 453-73
[9]  
Jager K(2010)The hazards of hazard ratios Epidemiol 21 13-5
[10]  
Leffondré K(2019)Summarizing and communicating on survival data according to the audience: a tutorial on different measures illustrated with population-based cancer registry data Clin Epidemiol 11 53-65