A Preplanned Multi-Stage Platform Trial for Discovering Multiple Superior Treatments With Control of FWER and Power [0.03%]
一种预计划的多阶段平台试验，用于发现多个优于对照组的治疗措施并控制FWER和功效
Peter Greenstreet,Thomas Jaki,Alun Bedding et al.
Peter Greenstreet et al.
There is a growing interest in the implementation of platform trials, which provide the flexibility to incorporate new treatment arms during the trial and the ability to halt treatments early based on lack of benefit or observed superiority...
To Tweak or Not to Tweak. How Exploiting Flexibilities in Gene Set Analysis Leads to Overoptimism [0.03%]
改还是不改？基因集分析中的灵活性如何导致过度乐观主义
Milena Wünsch,Christina Sauer,Moritz Herrmann et al.
Milena Wünsch et al.
Gene set analysis, a popular approach for analyzing high-throughput gene expression data, aims to identify sets of genes that show enriched expression patterns between two conditions. In addition to the multitude of methods available for th...
Investigating a Domain Adaptation Approach for Integrating Different Measurement Instruments in a Longitudinal Clinical Registry [0.03%]
纵向临床登记中整合不同测量仪器的领域适应性方法研究
Maren Hackenberg,Michelle Pfaffenlehner,Max Behrens et al.
Maren Hackenberg et al.
In a longitudinal clinical registry, different measurement instruments might have been used for assessing individuals at different time points. To combine them, we investigate deep learning techniques for obtaining a joint latent representa...
The Progression-Free-Survival Ratio in Molecularly Aided Tumor Trials: A Critical Examination of Current Practice and Suggestions for Alternative Methods [0.03%]
分子辅助肿瘤试验中无进展生存率的批判性分析及替代方法建议
Dominic Edelmann,Tobias Terzer,Peter Horak et al.
Dominic Edelmann et al.
The progression-free-survival ratio is a popular endpoint in oncology trials, which is frequently applied to evaluate the efficacy of molecularly targeted treatments in late-stage patients. Using elementary calculations and simulations, num...
Assessing Balance of Baseline Time-Dependent Covariates via the Fréchet Distance [0.03%]
基于Fréchet距离的基线时间依赖协变量的均衡性评估
Mireya Díaz
Mireya Díaz
Assessment of covariate balance is a key step when performing comparisons between groups particularly in real-world data. We generally evaluate it on baseline covariates, but rarely on longitudinal ones prior to a management decision. We co...
Best Subset Solution Path for Linear Dimension Reduction Models Using Continuous Optimization [0.03%]
基于连续优化的线性降维模型的最佳子集解路径方法
Benoit Liquet,Sarat Moka,Samuel Muller
Benoit Liquet
The selection of best variables is a challenging problem in supervised and unsupervised learning, especially in high-dimensional contexts where the number of variables is usually much larger than the number of observations. In this paper, w...
Oncology Clinical Trial Design Planning Based on a Multistate Model That Jointly Models Progression-Free and Overall Survival Endpoints [0.03%]
基于多状态模型联合建模无进展生存和总生存终点的肿瘤临床试验设计规划方法研究
Alexandra Erdmann,Jan Beyersmann,Kaspar Rufibach
Alexandra Erdmann
When planning an oncology clinical trial, the usual approach is to assume proportional hazards and even an exponential distribution for time-to-event endpoints. Often, besides the gold-standard endpoint overall survival (OS), progression-fr...
A Principled Approach to Adjust for Unmeasured Time-Stable Confounding of Supervised Treatment [0.03%]
一种校正监督治疗未测量的时不变混淆因素的原理方法
Jeppe Ekstrand Halkjær Madsen,Thomas Delvin,Thomas Scheike et al.
Jeppe Ekstrand Halkjær Madsen et al.
We propose a novel method to adjust for unmeasured time-stable confounding when the time between consecutive treatment administrations is fixed. We achieve this by focusing on a new-user cohort. Furthermore, we envisage that all time-stable...
Goodness-of-Fit Testing for a Regression Model With a Doubly Truncated Response [0.03%]
截尾响应回归模型的拟合优度检验
Jacobo de Uña-Álvarez
Jacobo de Uña-Álvarez
In survival analysis and epidemiology, among other fields, interval sampling is often employed. With interval sampling, the individuals undergoing the event of interest within a calendar time interval are recruited. This results in doubly t...
Adjusted Inference for Multiple Testing Procedure in Group-Sequential Designs [0.03%]
分组顺序设计中多重性校正的假设检验方法研究
Yujie Zhao,Qi Liu,Linda Z Sun et al.
Yujie Zhao et al.
Adjustment of statistical significance levels for repeated analysis in group-sequential trials has been understood for some time. Adjustment accounting for testing multiple hypotheses is also well understood. There is limited research on si...