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 ...
Statistical Modeling to Adjust for Time Trends in Adaptive Platform Trials Utilizing Non-Concurrent Controls [0.03%]
统计建模在自适应平台试验中调整非同期对照的时效趋势
Pavla Krotka,Martin Posch,Mohamed Gewily et al.
Pavla Krotka et al.
Utilizing non-concurrent control (NCC) data in the analysis of late-entering arms in platform trials has recently received considerable attention. While incorporating NCC can lead to increased power and lower sample sizes, it might introduc...
A Bivariate Finite Mixture Random Effects Model for Identifying and Accommodating Outliers in Diagnostic Test Accuracy Meta-Analyses [0.03%]
用于识别并校正诊断检出率荟萃分析中异常值的二元有限混合随机效应模型
Zelalem F Negeri
Zelalem F Negeri
Outlying studies are prevalent in meta-analyses of diagnostic test accuracy studies and may lead to misleading inferences and decision-making unless their negative effect is appropriately dealt with. Statistical methods for detecting and do...