Ethan M Alt,Peter Yi Guan,Larry Leon et al.
Ethan M Alt et al.
In clinical trials, it is often of interest to know whether treatment works differently for some groups than others, known as heterogeneity of treatment effect. Such subgroup analysis is complicated to conduct because trials are typically n...
Imputation of incomplete ordinal and nominal data by predictive mean matching [0.03%]
利用预测均值匹配对不完整的序数和名义数据进行插补
Peter C Austin,Stef van Buuren
Peter C Austin
Multivariate imputation using chained equations is a popular algorithm for imputing missing data that entails specifying multivariable models through conditional distributions. Two standard imputation methods for imputing missing continuous...
Selecting the optimal longitudinal cluster randomized design with a continuous outcome: Parallel-arm, crossover, or stepped-wedge [0.03%]
具有连续结果的最佳纵向集群随机设计的选择：平行臂、交叉还是逐步楔形
Jingxia Liu,Fan Li,Siobhan Sutcliffe et al.
Jingxia Liu et al.
The optimal designs (ODs) for parallel-arm longitudinal cluster randomized trials, multiple-period cluster randomized crossover (CRXO) trials, and stepped wedge cluster randomized trials (SW-CRTs), including closed-cohort and repeat cross-s...
On prior smoothing with discrete spatial data in the context of disease mapping [0.03%]
离散空间数据的先验平滑处理在疾病制图中的应用
Garazi Retegui,Alan E Gelfand,Jaione Etxeberria et al.
Garazi Retegui et al.
Disease mapping attempts to explain observed health event counts across areal units, typically using Markov random field models. These models rely on spatial priors to account for variation in raw relative risk or rate estimates. Spatial pr...
A note on response-adaptive randomization from a Bayesian prediction viewpoint [0.03%]
从贝叶斯预测角度看自适应随机化的一点注记
Alessandra Giovagnoli,Monia Lupparelli
Alessandra Giovagnoli
Starting from a Bayesian perspective, this paper proposes a novel response adaptive randomization rule based on the use of the predictive distribution. The intent is to design a randomized mechanism that favors the allocation of the next pa...
Norah Alkhnefr,Feifang Hu,Guannan Zhai
Norah Alkhnefr
In clinical trials, response-adaptive randomization (RAR) has gained increasing attention due to its ability to assign more patients to better-performing treatments. Consequently, several RAR methods have been proposed in recent years. Amon...
To what extent is response-adaptive randomization used in clinical trials? A systematic review using Cortellis Regulatory Intelligence database [0.03%]
一种系统性回顾：适应性随机化在临床试验中使用广泛吗？利用科特里斯监管智能数据库进行研究
Oleksandr Sverdlov,Jone Renteria,Kerstine Carter et al.
Oleksandr Sverdlov et al.
Background: There is emerging evidence of the increasing uptake of response-adaptive randomization (RAR) in clinical trials. However, a systematic review of RAR trials, their context of use, characteristics, and stakeholder acceptance has b...
Yaxian Chen,Yeonhee Park
Yaxian Chen
Driven by evolving Food and Drug Administration recommendations, modern clinical trials demand innovative designs that strike a balance between statistical rigor and ethical considerations. Covariate-adjusted response-adaptive randomization...
Chenrui Qi,Zicheng Lin,Baqun Zhang et al.
Chenrui Qi et al.
Despite the widespread use of time-to-event data in precision medicine, existing research has often neglected the presence of the cure fraction, assuming that all individuals will inevitably experience the event of interest. When a cure fra...
Design of egocentric network-based studies to estimate causal effects under interference [0.03%]
基于自中心网络的研究设计估计干扰下的因果效应
Junhan Fang,Donna Spiegelman,Ashley L Buchanan et al.
Junhan Fang et al.
Many public health interventions are conducted in settings where individuals are connected and the intervention assigned to some individuals may spill over to other individuals. In these settings, we can assess: (a) the individual effect on...