Julie-Alexia Dias,Eunchan Bae,Theodore Huang et al.
Julie-Alexia Dias et al.
Many pathogenic sequence variants (PSVs) have been associated with increased risk of cancers. Mendelian risk prediction models use Mendelian laws of inheritance, as well as specified PSV frequency and penetrance (age-specific probability of...
Doubly Robust Estimation and Sensitivity Analysis With Outcomes Truncated by Death in Multi-Arm Clinical Trials [0.03%]
基于死亡截断的结局的双重稳健估计与敏感性分析在多臂临床试验中的应用
Jiaqi Tong,Chao Cheng,Guangyu Tong et al.
Jiaqi Tong et al.
In clinical trials, the observation of participant outcomes may frequently be hindered by death, leading to ambiguity in defining a scientifically meaningful final outcome for those who die. Principal stratification methods are valuable too...
Survival Analysis Under the Aalen's Additive Hazards Model With Covariate Measurement Error: Application to Causal Mediation Analysis [0.03%]
Aalen模型含协变量测量误差的生存分析及其在因果中介效应分析中的应用
Xialing Wen,Liangchen Qin,Hui Wu et al.
Xialing Wen et al.
Covariate measurement error is an important problem in survival analysis, which has been well studied under the Cox proportional hazards model. However, measurement error effects have been rarely addressed under the Aalen's additive hazards...
Joint Bayesian Hidden Markov Model With Subject-Specific Transitions for Wearable Sensor Data [0.03%]
基于主体间状态转移的联合贝叶斯隐马尔科夫模型及其在可穿戴设备数据分析中的应用
Wenbo Fei,Zhen Miao,Tianchen Xu et al.
Wenbo Fei et al.
With the rapid advancements in wearable device technologies, there is a growing interest in learning useful digital biomarkers from wearable device data as objective, low-cost, real-time alternatives to use in healthcare settings. They have...
Two-Stage Drop-the-Losers Design for the Selection of Effective Treatments and Estimating Their Average Worth [0.03%]
选择有效治疗的两阶段淘汰设计及其平均效果估计方法
Yogesh Katariya,Neeraj Misra
Yogesh Katariya
In multi-arm clinical trials, several new treatments are often evaluated concurrently to identify the best and confirm their superiority over a control. In this paper, we propose a framework that introduces an intermediate stage aimed at as...
Likelihood-Based Non-Parametric Receiver Operating Characteristic Curve Analysis in the Presence of Imperfect Reference Standard [0.03%]
参考标准不完善情况下的非参数ROC曲似然分析方法研究
Yifan Sun,Peijun Sang,Qinglong Tian et al.
Yifan Sun et al.
In diagnostic studies, researchers frequently encounter imperfect reference standards with some misclassified labels. Treating these as gold standards can bias receiver operating characteristic (ROC) curve analysis. To address this issue, w...
Peter Zhang,Brent Logan,Michael J Martens
Peter Zhang
In confirmatory clinical trials, survival outcomes are frequently studied and interim analyses for efficacy and/or futility are often desirable. Methods including the log rank test and Cox regression model are commonly used for treatment co...
Pär Villner,Matteo Bottai
Pär Villner
Meta-analysis consists of a wide range of methods for summarizing existing research, often by aggregating summary statistics. The dominant methods are the fixed effect and the random effects models, which assume that all studies included in...
Cluster-Level Analyses to Estimate a Risk Difference in a Cluster Randomized Trial With Confounding Individual-Level Covariates: A Simulation Study [0.03%]
具有混淆个体协变量的分层随机试验中估计风险差异的聚类分析：一项模拟研究
Jules Antoine Pereira Macedo,Bruno Giraudeau;ESCIENT collaborators
Jules Antoine Pereira Macedo
Cluster randomized trials (CRTs) may be analyzed using cluster-level analyses. For binary outcomes, proportions are estimated for each cluster, and a risk difference can be estimated. The confidence interval is estimated using a Student dis...
Bayesian Integrated Learning of Longitudinal Dose-Response Relationships via Decentralized Clinical Trials [0.03%]
去中心化临床试验中纵向剂量效应关系的贝叶斯综合学习方法研究
Jingyi Zhang,Tuo Wang,Yongming Qu et al.
Jingyi Zhang et al.
Decentralized clinical trials (DCTs) extend trial activities beyond traditional sites, enhancing access, convenience, efficiency, and result generalizability. They are particularly promising for chronic conditions like diabetes and obesity,...