Doubly Robust Estimators for Heterogeneous Treatment Effects in Heteroskedastic Survival Data [0.03%]
异方差生存数据的异质性处理效应的双重稳健估计方法
Yuhui Yang,Weiwei Hu,Zhenli Liao et al.
Yuhui Yang et al.
Given the increasing interest focus on personalized medicine, a number of advanced statistical methods have been developed for estimating heterogeneous treatment effects (HTEs). However, methods for estimating HTEs in medical applications a...
Xialing Wen,Ying Yan
Xialing Wen
In recent years, there is a growing body of causal inference literature focusing on covariate balancing methods. These methods eliminate observed confounding by equalizing covariate moments between the treated and control groups. The validi...
A Noise-Tolerant Inference Procedure for Quasi-Monte Carlo Likelihood Estimation of a Joint Model for Multiple Longitudinal Markers and Competing Risks [0.03%]
一种耐噪音的推理程序，用于准蒙特卡罗联合模型的似然估计，该模型适用于多个纵向标记和竞争风险
L Chabeau,P Rinder,S Desmée et al.
L Chabeau et al.
Despite increasingly widespread use, complex joint models for longitudinal and survival data can be difficult to estimate. Notably, this could be due to the computation of the intractable integral over random effects involved in the likelih...
An Approach to Design Adaptive Clinical Trials With Time-to-Event Outcomes Based on a General Bayesian Posterior Distribution [0.03%]
一种基于广义贝叶斯后验分布设计具有生存结局的自适应临床试验的方法
James M McGree,Antony M Overstall,Mark Jones et al.
James M McGree et al.
Clinical trials are an integral component of medical research. Trials require careful design to, for example, maintain the safety of participants and to use resources efficiently. Adaptive clinical trials are often more efficient and ethica...
Alessandra Serra,Gaëlle Saint-Hilary,Sandrine Guilleminot et al.
Alessandra Serra et al.
Identifying and quantifying predictive biomarkers is a critical issue of Precision Medicine approaches and patient-centric clinical development strategies. Early phase adaptive designs can improve trial efficiency by allowing for adaptation...
Milena Wünsch,Moritz Herrmann,Elisa Noltenius et al.
Milena Wünsch et al.
Comparison studies in methodological research are intended to compare methods in an evidence-based manner to help data analysts select a suitable method for their application. To provide trustworthy evidence, they must be carefully designed...
James F Troendle,Aparajita Sur,Eric S Leifer et al.
James F Troendle et al.
We discuss practical aspects of conducting sensitivity analyses for missing data with a repeatedly measured outcome. Our motivation is a SMART trial with a repeatedly measured outcome subject to missingness. We discuss and describe delta-ba...
Robust Estimation of Additive Shared-Frailty Models for Recurrent Event Data With Dependent Censoring [0.03%]
具有相关缺失的复发事件数据的加性共享 frailty 模型的稳健估计方法
Xin Chen,Jieli Ding,Liuquan Sun
Xin Chen
Recurrent event data with dependent censoring frequently arise in medical follow-up studies. In analyzing such data, one main challenge is addressing the complex dependencies among the recurrent events, failure events, and censoring events....
A Corrected Score Approach for Proportional Hazards Model With Error-Contaminated Covariates Subject to Detection Limits [0.03%]
带有检测限制的含误差解释变量的比例危险模型的修正评分方法
Xiao Song,Ching-Yun Wang
Xiao Song
In survival analysis under the proportional hazards model, covariates may be subject to both measurement error and detection limits. Most existing approaches only address one of these two complications and can lead to substantial bias and e...
A Practical Framework to Design Immunization Studies Based on the Beta Distribution [0.03%]
基于Beta分布设计免疫策略研究的实用框架
Stefan Embacher,Andrea Berghold,Kirsten Maertens et al.
Stefan Embacher et al.
An optimally designed experiment reaches results quicker, at a lower cost, or with fewer observations and is therefore crucial in maximizing resource efficiency in research. In immunization studies, the primary goal is often to characterize...