Multivariate Bayesian Dynamic Borrowing for Repeated Measures Data With Application to External Control Arms in Open-Label Extension Studies [0.03%]
多元贝叶斯动态借势方法及其在开放标签扩展试验中利用外部对照臂的重复测量数据中的应用
Benjamin F Hartley,Matthew A Psioda,Adrian P Mander
Benjamin F Hartley
Borrowing analyses are increasingly important in clinical trials. We develop a method for using robust mixture priors in multivariate dynamic borrowing. The method was motivated by a desire to produce causally valid, long-term treatment eff...
Federated Mixed Effects Logistic Regression Based on One-Time Shared Summary Statistics [0.03%]
基于一次性共享汇总统计信息的联合混合效应逻辑回归
Marie Analiz April Limpoco,Christel Faes,Niel Hens
Marie Analiz April Limpoco
Upholding data privacy, especially in medical research, has become tantamount to facing difficulties in accessing individual-level patient data. Estimating mixed effects binary logistic regression models involving data from multiple data pr...
ADDIS-Graphs for Online Error Control With Application to Platform Trials [0.03%]
用于平台试验的在线误差控制的ADDIS图
Lasse Fischer,Marta Bofill Roig,Werner Brannath
Lasse Fischer
In contemporary research, online error control is often required, where an error criterion, such as familywise error rate (FWER) or false discovery rate (FDR), shall remain under control while testing an a priori unbounded sequence of hypot...
A New Logistic Model With Subject-Specific and Serially Correlated Time-Specific Distribution-Free Random Effects on the Unit Interval for Longitudinal Binary Data [0.03%]
一种新的逻辑模型，该模型具有主体特定和顺序相关的时点特定的单位区间上自由分布的随机效应，用于纵向二元数据
Lulu Zhang,Renjun Ma,Guohua Yan et al.
Lulu Zhang et al.
Various beta-binomial mixed effects models have been developed in recent years for longitudinal binary data; however, these approaches rely heavily on the parametric specification of beta and normal random effects. Furthermore, their incorp...
Inference Under Covariate-Adaptive Randomization Using Random Center-Effect [0.03%]
基于随机中心效应的分层自适应随机化推断方法研究
Anjali Pandey,Harsha Shree Bs,Andrea Callegaro
Anjali Pandey
The minimization method is a popular choice for covariate-adaptive randomization in multicenter trials. Existing literature suggests that the type-I error is controlled if minimization variables are included in the statistical analysis. How...
From Data to Knowledge. Advancing Life Sciences: Editorial for the CEN2023 Special Issue [0.03%]
从数据到知识——推动生命科学的发展：CEN2023专题刊序言
Werner Brannath,Frank Bretz,Hans Ulrich Burger et al.
Werner Brannath et al.
Birzhan Akynkozhayev,Benjamin Christoffersen,Xingrong Liu et al.
Birzhan Akynkozhayev et al.
Accelerated failure time (AFT) models offer an attractive alternative to Cox proportional hazards models. AFT models are collapsible and, unlike hazard ratios in proportional hazards models, the acceleration factor-a key effect measure in A...
Ayon Mukherjee,Jonathan L Moscovici,Zheng Liu
Ayon Mukherjee
Phase I dose escalation trials in oncology generally aim to find the maximum tolerated dose. However, with the advent of molecular-targeted therapies and antibody drug conjugates, dose-limiting toxicities are less frequently observed, givin...
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...