Li-Sheng Zhuang,Jih-Chang Yu,Yen-Tsung Huang
Li-Sheng Zhuang
The illness-death model is widely used to characterize disease progression over time. Previous work focuses either on estimation without causal interpretation or on causal interpretation under a strong Markov assumption where the terminal e...
A Comparison of Testing Procedures for Detecting Short- and Long-Term Effects of Biomarkers for Cancer Screening [0.03%]
用于检测癌症筛查生物标志物短期和长期效应的检验程序比较
Siddharth Roy,Paul S Albert,Anindya Roy et al.
Siddharth Roy et al.
Longitudinal cancer biomarker studies aim to identify markers useful for long-term associations with cancer risk and early detection of cancer diagnosis. Early detection biomarkers show acute associations, meaning longitudinal trajectory ch...
Comparative Study
Statistics in medicine. 2026 Aug;45(18-19):e70686. DOI:10.1002/sim.70686 2026
A Bayesian Optimal Adaptive Clinical Trial Design for Sequentially Integrated Therapies [0.03%]
序贯整合疗法的贝叶斯最优自适应临床试验设计
Yining Li,Jiaying Guo,Samer Gawrieh et al.
Yining Li et al.
Clinical syndromes or diseases with complex etiology often require multiple treatments, each addressing one specific aspect of the disease. Such treatments are typically administered sequentially in an integrated fashion. For example, in al...
Bijit Roy,Emmanuel Lesaffre
Bijit Roy
In this article, we adapt a Bayesian model selection criterion for use with derived response variables, motivated by modeling BMI as a function of its components, weight and height. We argue that the best model for the original responses (w...
Pragmatic Two-Stage Design for Clinical Trials With Treatment Selection [0.03%]
临床试验中治疗选择的实用两阶段设计方法研究
Paul Horton,Yajun Mei
Paul Horton
Clinical trials are inherently complex and become more challenging when selecting one treatment from many while also evaluating the efficacy. In this paper, we develop a pragmatic design that balances sample efficiency and practicality thro...
Multiple Summary Knowledge-Based Disease Prevalence Estimation for Group Testing Data [0.03%]
基于多种总结知识的群体检测数据疾病流行估计方法
Wanshuo Yang,Juan Ding,Wenjun Xiong et al.
Wanshuo Yang et al.
Group testing is widely recognized for its ability to reduce time and cost in screening for rare diseases. However, with limited samples, the parameter estimation from group-testing data might be inefficient. In some scenarios, the external...
Improving Sensitivity Analysis By Synthesizing Randomized Clinical Trials With Limited Overlap [0.03%]
通过合成随机对照试验改善敏感性分析（有限重叠）
Kuan Jiang,Wenjie Hu,Xinxing Lai et al.
Kuan Jiang et al.
While randomized clinical trials (RCTs) are widely regarded as the gold standard for estimating average treatment effects, their external validity is often constrained by limited sample sizes and restrictive inclusion/exclusion criteria, wh...
Low-Rank Variational Correction Estimation for Multi-Source Heterogeneous Quantile Linear Regression Models [0.03%]
多源异构分位数线性回归模型的低秩变分校正估计方法
Huiqiong Li,Lu Luo,Min Wang et al.
Huiqiong Li et al.
High-dimensional data arising in genomics, econometrics, and clinical medicine often exhibit substantial heterogeneity across multiple sources. While existing methods address multi-source heterogeneity, they do not adequately accommodate th...
On the Statistical Limitations of Landmark Analysis for Addressing Immortal Time Bias [0.03%]
关于解决永生时间偏差的地标分析的统计限制的思考
Fei Wan
Fei Wan
Landmark analysis establishes a fixed "landmark" time, including only individuals who remain event-free up to that point and classifying survivors according to their treatment status at the landmark. By restarting follow-up from this time, ...
A Cautionary Note for Plasmode Simulation Studies in the Setting of Causal Inference [0.03%]
因果推断背景下模式模拟研究的注意事项
Pamela A Shaw,Susan Gruber,Brian D Williamson et al.
Pamela A Shaw et al.
Plasmode simulation has become an important tool for evaluating operating characteristics of different statistical methods in complex settings, such as pharmacoepidemiological studies of treatment effectiveness using electronic health recor...