Bias reduction for semi-competing risks frailty model with rare events: application to a chronic kidney disease cohort study in South Korea [0.03%]
一种罕见事件的半竞争风险脆弱性模型偏差降低方法及其在韩国慢性肾病队列研究中的应用
Jayoun Kim,Boram Jeong,Il Do Ha et al.
Jayoun Kim et al.
In a semi-competing risks model in which a terminal event censors a non-terminal event but not vice versa, the conventional method can predict clinical outcomes by maximizing likelihood estimation. However, this method can produce unreliabl...
David Oakes
David Oakes
I present some personal memories and thoughts on Cox's 1972 paper "Regression Models and Life-Tables". Keywords: ...
Dynamic Treatment Regimes Using Bayesian Additive Regression Trees for Censored Outcomes [0.03%]
基于Bayesian加性回归树的截断型结果变量个体化治疗方案的构建及评估
Xiao Li,Brent R Logan,S M Ferdous Hossain et al.
Xiao Li et al.
To achieve the goal of providing the best possible care to each individual under their care, physicians need to customize treatments for individuals with the same health state, especially when treating diseases that can progress further and...
Causal survival analysis under competing risks using longitudinal modified treatment policies [0.03%]
竞争风险下基于纵向治疗方案的因果生存分析
Iván Díaz,Katherine L Hoffman,Nima S Hejazi
Iván Díaz
Longitudinal modified treatment policies (LMTP) have been recently developed as a novel method to define and estimate causal parameters that depend on the natural value of treatment. LMTPs represent an important advancement in causal infere...
Bayesian semiparametric joint model of multivariate longitudinal and survival data with dependent censoring [0.03%]
具有相关缺失的多元纵向和生存数据的贝叶斯半参数联合模型
An-Min Tang,Nian-Sheng Tang,Dalei Yu
An-Min Tang
We consider a novel class of semiparametric joint models for multivariate longitudinal and survival data with dependent censoring. In these models, unknown-fashion cumulative baseline hazard functions are fitted by a novel class of penalize...
Jeffrey Zhang,Dylan S Small
Jeffrey Zhang
We conduct an observational study of the effect of sickle cell trait Haemoglobin AS (HbAS) on the hazard rate of malaria fevers in children. Assuming no unmeasured confounding, there is strong evidence that HbAS reduces the rate of malarial...
Observational Study
Lifetime data analysis. 2024 Jan;30(1):237-261. DOI:10.1007/s10985-023-09607-6 2024
Ryan Sun,Dayu Sun,Liang Zhu et al.
Ryan Sun et al.
In modern biomedical datasets, it is common for recurrent outcomes data to be collected in an incomplete manner. More specifically, information on recurrent events is routinely recorded as a mixture of recurrent event data, panel count data...
Eun Ryung Lee,Seyoung Park,Sang Kyu Lee et al.
Eun Ryung Lee et al.
Despite the urgent need for an effective prediction model tailored to individual interests, existing models have mainly been developed for the mean outcome, targeting average people. Additionally, the direction and magnitude of covariates' ...
Estimation of separable direct and indirect effects in a continuous-time illness-death model [0.03%]
连续时间病死模型中可分直接和间接效应的估计
Marie Skov Breum,Anders Munch,Thomas A Gerds et al.
Marie Skov Breum et al.
In this article we study the effect of a baseline exposure on a terminal time-to-event outcome either directly or mediated by the illness state of a continuous-time illness-death process with baseline covariates. We propose a definition of ...
Evaluation of the natural history of disease by combining incident and prevalent cohorts: application to the Nun Study [0.03%]
结合新发病例和现患病例队列评估疾病的自然史：在修女研究中的应用
Daewoo Pak,Jing Ning,Richard J Kryscio et al.
Daewoo Pak et al.
The Nun study is a well-known longitudinal epidemiology study of aging and dementia that recruited elderly nuns who were not yet diagnosed with dementia (i.e., incident cohort) and who had dementia prior to entry (i.e., prevalent cohort). I...