A copula model for bivariate hybrid censored survival data with application to the MACS study [0.03%]
应用于MACS研究的双变量混合删失生存数据的Copula模型
Suhong Zhang,Ying Zhang,Kathryn Chaloner et al.
Suhong Zhang et al.
A copula model for bivariate survival data with hybrid censoring is proposed to study the association between survival time of individuals infected with HIV and persistence time of infection with an additional virus. Survival with HIV is ri...
Relation between three classes of structural models for the effect of a time-varying exposure on survival [0.03%]
时变暴露对生存影响的三种结构模型之间的关系
Jessica G Young,Miguel A Hernán,Sally Picciotto et al.
Jessica G Young et al.
Standard methods for estimating the effect of a time-varying exposure on survival may be biased in the presence of time-dependent confounders themselves affected by prior exposure. This problem can be overcome by inverse probability weighte...
Comparative Study
Lifetime data analysis. 2010 Jan;16(1):71-84. DOI:10.1007/s10985-009-9135-3 2010
Yanqing Sun
Yanqing Sun
In a longitudinal study, an individual is followed up over a period of time. Repeated measurements on the response and some time-dependent covariates are taken at a series of sampling times. The sampling times are often irregular and depend...
A Bayesian adaptive design for two-stage clinical trials with survival data [0.03%]
基于生存数据的两阶段临床试验的贝叶斯自适应设计方法研究
Uttam Bandyopadhyay,Atanu Biswas,Rahul Bhattacharya
Uttam Bandyopadhyay
A randomized two-stage adaptive Bayesian design is proposed and studied for allocation and comparison in a phase III clinical trial with survival time as treatment response. Several exact and limiting properties of the design and the follow...
Ming-Yen Cheng,Peihua Qiu,Xianming Tan et al.
Ming-Yen Cheng et al.
The phenomenon of crossing hazard rates is common in clinical trials with time to event endpoints. Many methods have been proposed for testing equality of hazard functions against a crossing hazards alternative. However, there has been rela...
Computation of the asymptotic null distribution of goodness-of-fit tests for multi-state models [0.03%]
求多状态模型拟合优度检验的渐近无效分布的计算方法
Andrew C Titman
Andrew C Titman
We develop an improved approximation to the asymptotic null distribution of the goodness-of-fit tests for panel observed multi-state Markov models (Aguirre-Hernandez and Farewell, Stat Med 21:1899-1911, 2002) and hidden Markov models (Titma...
Adjusting for time-varying confounding in the subdistribution analysis of a competing risk [0.03%]
竞争风险的亚分布分析中调整时变混淆因素的影响
Maarten Bekaert,Stijn Vansteelandt,Karl Mertens
Maarten Bekaert
Despite decades of research in the medical literature, assessment of the attributable mortality due to nosocomial infections in the intensive care unit (ICU) remains controversial, with different studies describing effect estimates ranging ...
Anne Gégout-Petit,Daniel Commenges
Anne Gégout-Petit
We extend the study of weak local conditional independence (WCLI) based on a measurability condition made by (Commenges and Gégout-Petit J R Stat Soc B 71:1-18) to a larger class of processes that we call D'. We also give a definition rela...
Measurement error correction for the cumulative average model in the survival analysis of nutritional data: application to Nurses' Health Study [0.03%]
营养测量误差对生存分析累积平均模型的影响及护理健康研究中的应用
Weiliang Qiu,Bernard Rosner
Weiliang Qiu
The use of the cumulative average model to investigate the association between disease incidence and repeated measurements of exposures in medical follow-up studies can be dated back to the 1960s (Kahn and Dawber, J Chron Dis 19:611-620, 19...
Marco Bonetti,Chiara Gigliarano,Pietro Muliere
Marco Bonetti
We apply the well known Gini index to the measurement of concentration in survival times within groups of patients, and as a way to compare the distribution of survival times across groups of patients in clinical studies. In particular, we ...