Nonparametric estimation of the cumulative incidence function for doubly-truncated and interval-censored competing risks data [0.03%]
双重截断和区间删失竞争风险数据下的累计发病函数的非参数估计方法研究
Pao-Sheng Shen
Pao-Sheng Shen
Interval sampling is widely used for collection of disease registry data, which typically report incident cases during a certain time period. Such sampling scheme induces doubly truncated data if the failure time can be observed exactly and...
Two-stage pseudo maximum likelihood estimation of semiparametric copula-based regression models for semi-competing risks data [0.03%]
基于半参数copula的回归模型的半竞争风险数据的两阶段伪极大似然估计法研究
Sakie J Arachchige,Xinyuan Chen,Qian M Zhou
Sakie J Arachchige
We propose a two-stage estimation procedure for a copula-based model with semi-competing risks data, where the non-terminal event is subject to dependent censoring by the terminal event, and both events are subject to independent censoring....
Evaluating time-to-event surrogates for time-to-event true endpoints: an information-theoretic approach based on causal inference [0.03%]
基于因果推断的事件发生时间替代终点的信息理论评估方法
Florian Stijven,Geert Molenberghs,Ingrid Van Keilegom et al.
Florian Stijven et al.
Putative surrogate endpoints must undergo a rigorous statistical evaluation before they can be used in clinical trials. Numerous frameworks have been introduced for this purpose. In this study, we extend the scope of the information-theoret...
Nicholas Hartman
Nicholas Hartman
Period-prevalent cohorts are often used for their cost-saving potential in epidemiological studies of survival outcomes. Under this design, prevalent patients allow for evaluations of long-term survival outcomes without the need for long fo...
Weiyu Fang,Jie Zhou,Mengqi Xie
Weiyu Fang
Recurrent event data with a terminal event arise in follow-up studies. The current literature has primarily focused on the effect of covariates on the recurrent event process using marginal estimating equation approaches or joint modeling a...
Spatiotemporal multilevel joint modeling of longitudinal and survival outcomes in end-stage kidney disease [0.03%]
终末期肾病的纵向和生存结果的时空多水平联合建模
Esra Kürüm,Danh V Nguyen,Qi Qian et al.
Esra Kürüm et al.
Individuals with end-stage kidney disease (ESKD) on dialysis experience high mortality and excessive burden of hospitalizations over time relative to comparable Medicare patient cohorts without kidney failure. A key interest in this populat...
Unifying mortality forecasting model: an investigation of the COM-Poisson distribution in the GAS model for improved projections [0.03%]
基于GAS模型的COM-泊松分布在统一人口死亡率预测方法中的应用研究
Suryo Adi Rakhmawan,Tahir Mahmood,Nasir Abbas et al.
Suryo Adi Rakhmawan et al.
Forecasting mortality rates is crucial for evaluating life insurance company solvency, especially amid disruptions caused by phenomena like COVID-19. The Lee-Carter model is commonly employed in mortality modelling; however, extensions that...
Yei Eun Shin,Takumi Saegusa
Yei Eun Shin
Nested case-control design (NCC) is a cost-effective outcome-dependent design in epidemiology that collects all cases and a fixed number of controls at the time of case diagnosis from a large cohort. Due to inefficiency relative to full coh...
Copula-based analysis of dependent current status data with semiparametric linear transformation model [0.03%]
基于半参数线性变换模型的Copula依赖截断数据的分析方法研究
Huazhen Yu,Rui Zhang,Lixin Zhang
Huazhen Yu
This paper discusses regression analysis of current status data with dependent censoring, a problem that often occurs in many areas such as cross-sectional studies, epidemiological investigations and tumorigenicity experiments. Copula model...
Mei-Ling Ting Lee
Mei-Ling Ting Lee