A robust neural network with random effects for subject-specific prediction of clustered count data [0.03%]
一种具有随机效应的鲁棒神经网络，用于聚类计数数据的主体特定预测
Hangbin Lee,Il Do Ha,Changha Hwang et al.
Hangbin Lee et al.
There is a growing interest in subject-specific predictions using neural networks, as large-scale biomedical data often exhibit dependency due to high-cardinality categorical features, which have been largely overlooked by traditional neura...
A comparison of methods for designing hybrid type 2 cluster-randomized trials with continuous effectiveness and implementation endpoints [0.03%]
具有连续有效性和实施终点的混合类型2群随机试验设计方法比较
Melody A Owen,Fan Li,Ruyi Liu et al.
Melody A Owen et al.
Hybrid type 2 studies are gaining popularity for their ability to assess both implementation and health outcomes as co-primary endpoints. Often conducted as cluster-randomized trials (CRTs), five design methods can validly power these studi...
Joint analysis of longitudinal and recurrent event data: A functional regression approach with autoregressive frailty [0.03%]
纵向数据和复发事件数据分析的联合分析：具有自回归脆弱性的功能回归方法
Zifang Kong,Sy Han Chiou,Naim M Maalouf et al.
Zifang Kong et al.
Recurrent health events often involve complex inter-relationships between longitudinal biomarkers and time-to-event outcomes, further complicated by sparse, irregular data collection and time-dependent correlations among events. Traditional...
Empirical likelihood inference for the area under the receiver operating characteristic (ROC) curve with verification biased data [0.03%]
带有验证偏差数据的接收者操作特性曲线下面积的经验似然推断
Shirui Wang,Shuangfei Shi,Gengsheng Qin
Shirui Wang
In medical diagnostic studies, the area under the receiver operating characteristic curve (AUC) is a widely used metric that captures a continuous test's overall ability to discriminate between diseased and non-diseased individuals across a...
Maximum likelihood estimation in proportional odds regression model based on interval-censored event-time data [0.03%]
基于区间截尾的事件时间数据下的比例优势回归模型的最大概似估计
Zhong Guan
Zhong Guan
Maximum likelihood estimates of density function and regression coefficients in the proportional odds regression models are proposed and studied based on event-time data that are either completely or partly interval-censored. A smooth estim...
A bounded hazard ratio Cox model for the effect of time to treatment on mortality [0.03%]
一个有界危险比的Cox模型用于探究治疗时机对死亡率的影响
Krithika Suresh,Wenyu Zhang,John D Rice
Krithika Suresh
In resource-limited or time-sensitive care settings, there is interest in assessing the impact of time to treatment (TTT) on mortality. Traditional Cox proportional hazards models, which specify the effect of TTT as an unrestricted term in ...
Analysis of longitudinal zero-inflated count data using overall marginalized hurdle models [0.03%]
纵向零膨胀计数数据的总体边缘化障碍模型分析
Jiyun Lee,Eun Jin Jang,Keunbaik Lee
Jiyun Lee
Longitudinal zero-inflated count data frequently arise in various fields such as medicine and social sciences. Standard hurdle models separate zero and positive counts, but fail to directly infer marginal means, limiting their ability to as...
An effective method for modeling highly correlated interaction models with applications in Alzheimer's disease analysis [0.03%]
一种有效建立高度相关交互模型的方法及阿尔茨海默病分析中的应用
Shun Yu,Yujie Gai,Yuehan Yang
Shun Yu
Interactions and correlations among features are essential in biology, as well as in other fields. This article introduces a novel approach for linear interaction models characterized by complex correlation structures. By integrating local ...
An evaluation of designs for Phase I/IIa dose-finding studies in Tuberculosis [0.03%]
结核病一期/二期剂量寻找研究的设计评估
Alessandra Serra,Pavel Mozgunov,Patrick Pj Phillips et al.
Alessandra Serra et al.
Early development of tuberculosis (TB) treatments often separates dose-finding in healthy volunteers (Phase I) and safety and early activity in patients (Phase IIa). The BTZ-043 study (NCT04044001) is a recent study that combined these two ...
Bayesian adaptive design for clinical trials with potential subgroup effects [0.03%]
具有潜在亚组效应的临床试验的贝叶斯自适应设计
Xuekui Zhang,Qianyun Zhao,Cong Chen et al.
Xuekui Zhang et al.
Adaptive clinical trial designs increasingly aim to improve efficiency while accommodating subgroup heterogeneity, yet most existing methods fix assumptions about drug efficacy and subgroup effects. We propose a Bayesian adaptive design tha...