Hazards, Causality, and Practical Relevance of Collider Effects - Comment on Beyersmann et al. "Hazards Constitute Key Quantities for Analyzing, Interpreting and Understanding Time-to-Event Data" [0.03%]
关于Beyersmann等人“ hazards是分析、解释和理解生存数据的关键量”的评论：共变量的偏差效应及其实际相关性
Ralf Bender,Lars Beckmann
Ralf Bender
Hazards constitute key quantities for analyzing, interpreting, and understanding time-to-event data. Hazards and corresponding effect measures, such as the hazard ratio from the Cox proportional hazards model, have a valid causal interpreta...
Unified Estimation Method for Partially Linear Models With Nonmonotone Missing at Random Data [0.03%]
非单调缺失下半参数模型的估计方法
Yang Zhao
Yang Zhao
Partially linear models are commonly used in observational studies of the causal effect of treatment and/or exposure when there are observed confounding variables. The models are robust and asymptotically distribution-free for testing the c...
Haiming Zhou,Rex Shen,Sutan Wu et al.
Haiming Zhou et al.
In recent years, basket trials, which allow the evaluation of an experimental therapy across multiple tumor types within a single protocol, have gained prominence in early-phase oncology development. Unlike traditional trials, which evaluat...
Using Machine Learning to Improve Control for Confounding in the Dynamic Weighted Ordinary Least Squares Estimator of Optimal Adaptive Treatment Strategies [0.03%]
利用机器学习改进动态加权普通最小二乘估计法中混杂因素的控制以优化适应性治疗策略
Kossi Clément Trenou,Miceline Mésidor,Aida Eslami et al.
Kossi Clément Trenou et al.
Estimating optimal adaptive treatment strategies (ATSs) can be done in several ways, including dynamic weighted ordinary least squares (dWOLS). This approach is doubly robust as it requires modeling both the treatment and the response, but ...
Fulvio De Santis,Stefania Gubbiotti,Francesco Mariani
Fulvio De Santis
In the hybrid frequentist-Bayesian approach, the probability of success (PoS) of a trial is the expected value of the traditional power function of a test with respect to a design prior assigned to the parameter under scrutiny. However, thi...
Early and Late Buzzards: Comparing Different Approaches for Quantile-Based Multiple Testing in Heavy-Tailed Wildlife Research Data [0.03%]
基于分位数的多重假设检验在重尾野生动物研究数据中的早期和晚期𫛭：不同方法的比较
Marléne Baumeister,Merle Munko,Kai-Philipp Gladow et al.
Marléne Baumeister et al.
In medical, ecological, and psychological research, there is a need for methods to handle multiple testing, for example, to consider group comparisons with more than two groups. Typical approaches that deal with multiple testing are mean- o...
Comparative Study
Biometrical journal. Biometrische Zeitschrift. 2025 Aug;67(4):e70065. DOI:10.1002/bimj.70065 2025
Validation of a Longitudinal Marker as a Surrogate Using Mediation Analysis and Joint Modeling: Evolution of the PSA as a Surrogate of the Disease-Free Survival [0.03%]
基于中介分析和联合模型验证纵向替代标志物的方法以及PSA作为无病生存期的替代标志物的演变
Quentin Le Coent,Catherine Legrand,James J Dignam et al.
Quentin Le Coent et al.
Longitudinal biomarkers constitute a broad class of potential surrogate endpoints in clinical trials. Several approaches have been proposed for surrogate validation but available methods for validating a longitudinal biomarker as a surrogat...
Generalized Boosted Models to Measure Racial Effects at Different Quantiles in Observational Studies [0.03%]
观测性研究中利用广义提升模型度量不同分位数下的种族效应
Lili Yue,Jiayue Zhang,Ping Yu et al.
Lili Yue et al.
In this paper, we consider the estimation problem of treatment effect at different quantiles in observational studies with longitudinal data. The research motivation is from the NHLBI (National Heart, Lung, and Blood Institute) Growth and H...
A New Inverse Probability of Selection Weighted Cox Model to Deal With Outcome-Dependent Sampling in Survival Analysis [0.03%]
一种新的逆概率选择加权Cox模型在生存分析中处理结果依赖性抽样问题的方法
Vera H Arntzen,Marta Fiocco,Inge M M Lakeman et al.
Vera H Arntzen et al.
Motivated by the study of genetic effect modifiers of cancer, we examined weighting approaches to correct for ascertainment bias in survival analysis. Outcome-dependent sampling is common in genetic epidemiology leading to study samples wit...
Outcomes Truncated by Death in RCTs: A Simulation Study on the Survivor Average Causal Effect [0.03%]
随机对照试验中结局因死亡而截尾：对幸存者平均因果效应的模拟研究
Stefanie von Felten,Chiara Vanetta,Christoph M Rüegger et al.
Stefanie von Felten et al.
Continuous outcome measurements truncated by death present a challenge for the estimation of unbiased treatment effects in randomized controlled trials (RCTs). One way to deal with such situations is to estimate the survivor average causal ...