Accelerated test system strength models based on Birnbaum-Saunders distribution: a complete Bayesian analysis and comparison [0.03%]
基于Birnbaum-Sanders分布的加速测试系统强度模型：完整贝叶斯分析与比较
S K Upadhyay,Bhaswati Mukherjee,Ashutosh Gupta
S K Upadhyay
Several models for studies related to tensile strength of materials are proposed in the literature where the size or length component has been taken to be an important factor for studying the specimens' failure behaviour. An important model...
Comparative Study
Lifetime data analysis. 2009 Sep;15(3):379-96. DOI:10.1007/s10985-009-9113-9 2009
Torben Martinussen,Thomas H Scheike
Torben Martinussen
This paper considers estimation and prediction in the Aalen additive hazards model in the case where the covariate vector is high-dimensional such as gene expression measurements. Some form of dimension reduction of the covariate space is n...
Shibao Feng,Lei Nie,Robert A Wolfe
Shibao Feng
Relative risk frailty models are used extensively in analyzing clustered and/or recurrent time-to-event data. In this paper, Laplace's approximation for integrals is applied to marginal distributions of data arising from parametric relative...
Comparative Study
Lifetime data analysis. 2009 Sep;15(3):343-56. DOI:10.1007/s10985-009-9112-x 2009
Review and implementation of cure models based on first hitting times for Wiener processes [0.03%]
基于Wiener过程首次击中时间的治愈模型的研究与实现
Jeremy Balka,Anthony F Desmond,Paul D McNicholas
Jeremy Balka
The development of models and methods for cure rate estimation has recently burgeoned into an important subfield of survival analysis. Much of the literature focuses on the standard mixture model. Recently, process-based models have been su...
Pang Du
Pang Du
Recurrent event data arise in many biomedical and engineering studies when failure events can occur repeatedly over time for each study subject. In this article, we are interested in nonparametric estimation of the hazard function for gap t...
Sensitivity analysis for unmeasured confounding in a marginal structural Cox proportional hazards model [0.03%]
边际结构Cox比例风险模型中未测量的混淆因素的敏感性分析
Ole Klungsøyr,Joe Sexton,Inger Sandanger et al.
Ole Klungsøyr et al.
Sensitivity analysis for unmeasured confounding should be reported more often, especially in observational studies. In the standard Cox proportional hazards model, this requires substantial assumptions and can be computationally difficult. ...
Semiparametric analysis of panel count data with correlated observation and follow-up times [0.03%]
具有相关观察和随访时间的半参数面板计数数据模型分析方法研究
Xin He,Xingwei Tong,Jianguo Sun
Xin He
This paper discusses regression analysis of panel count data that often arise in longitudinal studies concerning occurrence rates of certain recurrent events. Panel count data mean that each study subject is observed only at discrete time p...
A semi-Markov multistate model for estimation of the mean quality-adjusted survival for non-progressive processes [0.03%]
非进展过程的平均质量调整生存期的半马尔可夫多状态模型估算方法
Gisela Tunes-da-Silva,Antonio C Pedroso-de-Lima,Pranab K Sen
Gisela Tunes-da-Silva
We discuss the estimation of the expected value of the quality-adjusted survival, based on multistate models. We generalize an earlier work, considering the sojourn times in health states are not identically distributed, for a given vector ...
Frederik Graw,Thomas A Gerds,Martin Schumacher
Frederik Graw
For regression on state and transition probabilities in multi-state models Andersen et al. (Biometrika 90:15-27, 2003) propose a technique based on jackknife pseudo-values. In this article we analyze the pseudo-values suggested for competin...
Comparative Study
Lifetime data analysis. 2009 Jun;15(2):241-55. DOI:10.1007/s10985-008-9107-z 2009
Variable selection for recurrent event data via nonconcave penalized estimating function [0.03%]
基于非凸惩罚估计函数的复发事件数据变量选择方法研究
Xingwei Tong,Liang Zhu,Jianguo Sun
Xingwei Tong
Variable selection is an important issue in all regression analysis and in this paper, we discuss this in the context of regression analysis of recurrent event data. Recurrent event data often occur in long-term studies in which individuals...