On Sample Size Determination for Augmented Tests Based on Restricted Mean Survival Time in Randomized Clinical Trials [0.03%]
随机临床试验中基于受限平均生存时间的扩充检验样本量确定方法研究
Satoshi Hattori,Hajime Uno
Satoshi Hattori
Restricted mean survival time (RMST) is gaining attention as a measure to quantify the treatment effect on survival outcomes in randomized clinical trials. Several methods to determine sample size based on the RMST-based tests have been pro...
The Shared Weighted Lindley Frailty Model for Clustered Failure Time Data [0.03%]
用于分析聚类失效时间数据的共享加权Lindley frailty模型
Diego I Gallardo,Marcelo Bourguignon,John L Santibáñez
Diego I Gallardo
The primary goal of this paper is to introduce a novel frailty model based on the weighted Lindley (WL) distribution for modeling clustered survival data. We study the statistical properties of the proposed model. In particular, the amount ...
Spatially Informed Nonnegative Matrix Trifactorization for Coclustering Mass Spectrometry Data [0.03%]
用于质谱数据共同聚类的带空间信息的非负矩阵三分解
Andrea Sottosanti,Francesco Denti,Stefania Galimberti et al.
Andrea Sottosanti et al.
Mass spectrometry imaging techniques measure molecular abundance in a tissue sample at a cellular resolution, all while preserving the spatial structure of the tissue. This kind of technology offers a detailed understanding of the role of s...
A New Frequentist Implementation of the Daniels and Hughes Bivariate Meta-Analysis Model for Surrogate Endpoint Evaluation [0.03%]
Daniel和Hughes双变量Meta分析模型的新频率实现用于替代终点评估
Dan Jackson,Michael Sweeting,Robbie C M van Aert et al.
Dan Jackson et al.
Surrogate endpoints are used when the primary outcome is difficult to measure accurately. Determining if a measure is suitable to use as a surrogate endpoint is a challenging task and a variety of meta-analysis models have been proposed for...
Angela Andreella,Livio Finos,Bruno Scarpa et al.
Angela Andreella et al.
In recent years, power analysis has become widely used in applied sciences, with the increasing importance of the replicability issue. When distribution-free methods, such as partial least squares (PLS)-based approaches, are considered, for...
Nonparametric Estimation of a Biometric Function Using Ranked Set Sampling With Ties Information [0.03%]
使用带结的排序集抽样估计双变量函数的非参数估计方法
Leila Jabari Koopaei,Ehsan Zamanzade,Afshin Parvardeh et al.
Leila Jabari Koopaei et al.
The mean residual life (MRL) function plays an important role in the summary and analysis of survival data. The main advantage of this function is that it summarizes the information in units of time instead of a probability scale, which req...
Modified Conditional Borrowing-By-Part Power Prior for Dynamic and Parameter-Specific Information Borrowing of the Gaussian Endpoint [0.03%]
条件修正借力先验方法在高斯终点动态及参数信息借用中的应用改造
Kai Wang,Han Cao,Chen Yao
Kai Wang
Borrowing external controls to augment the concurrent control arm is a popular topic in clinical trials. Bayesian dynamic borrowing methods adaptively discount external controls according to prior-data conflict. For the Gaussian endpoint, p...
Two-Arm Crossover Randomized Controlled Trial Versus Meta-Analysis of N-of-1 Studies: Comparison of Statistical Efficiency in Determining an Intervention Effect [0.03%]
两项臂交叉随机对照试验与N-of-1研究的荟萃分析：确定干预效应的统计效率比较
Anna Eleonora Carrozzo,Georg Zimmermann,Arne C Bathke et al.
Anna Eleonora Carrozzo et al.
N-of-1 trials are currently receiving broader attention in healthcare research when assessing the effectiveness of interventions. In contrast to the most commonly applied two-arm randomized controlled trial (RCT), in an N-of-1 design, the i...
Comparative Study
Biometrical journal. Biometrische Zeitschrift. 2025 Apr;67(2):e70045. DOI:10.1002/bimj.70045 2025
Stacking Model-Based Classifiers for Dealing With Multiple Sets of Noisy Labels [0.03%]
基于模型的分类器堆叠在处理多组噪声标签中的应用
Giulia Montani,Andrea Cappozzo
Giulia Montani
Supervised learning in presence of multiple sets of noisy labels is a challenging task that is receiving increasing interest in the ever-evolving landscape of healthcare analytics. Such an issue arises when multiple annotators are tasked to...
Survivor Average Causal Effects for Continuous Time: A Principal Stratification Approach to Causal Inference With Semicompeting Risks [0.03%]
连续时间幸存者平均因果效应的分析：一种半竞争风险问题的潜在结果分层方法
Leah Comment,Fabrizia Mealli,Sebastien Haneuse et al.
Leah Comment et al.
In semicompeting risks problems, nonterminal time-to-event outcomes, such as time to hospital readmission, are subject to truncation by death. These settings are often modeled with illness-death models for the hazards of the terminal and no...