Joint mixed-effects models for causal inference in clustered network-based observational studies [0.03%]
基于集群网络的观察性研究中因果推断的联合混合效应模型
Vanessa McNealis,Erica Em Moodie,Nema Dean
Vanessa McNealis
Causal inference on populations embedded in social networks poses technical challenges, since the typical no-interference assumption frequently does not hold. Existing methods developed in the context of network interference rely upon the a...
Two stage least squares with time-varying instruments: An application to an evaluation of treatment intensification for type-2 diabetes [0.03%]
时变工具变量的两阶段最小二乘法：在2型糖尿病治疗强化评估中的应用
Daniel Tompsett,Stijn Vansteelandt,Richard Grieve et al.
Daniel Tompsett et al.
As routinely collected longitudinal data becomes more available in many settings, policy makers are increasingly interested in the effect of time-varying treatments (sustained treatment strategies). In settings such as this, many commonly u...
The use of the EM algorithm for regularization problems in high-dimensional linear mixed-effects models [0.03%]
EM算法在高维线性混合效应模型正则化问题中的应用
Daniela Cr Oliveira,Fernanda L Schumacher,Victor H Lachos
Daniela Cr Oliveira
The expectation-maximization (EM) algorithm is a popular tool for maximum likelihood estimation, but its use in high-dimensional regularization problems in linear mixed-effects models has been limited. In this article, we introduce the EMLM...
Diagnostic accuracy analysis for multiple raters using probit hierarchical model for ordinal ratings [0.03%]
基于序数评分的probit层次模型的多重评价者的诊断准确性分析
Yun Yang,Xiaoyan Lin,Kerrie P Nelson
Yun Yang
This paper delves into the realm of ordinal classification processes for multiple raters. A Probit hierarchical model is proposed linking rater's ordinal ratings with rater diagnostic skills (bias and magnifier) and patient latent disease s...
Dynamic prediction by landmarking with data from cohort subsampling designs [0.03%]
基于队列抽样设计数据的动态预测的路标法
Yen Chang,Anastasia Ivanova,Demetrius Albanes et al.
Yen Chang et al.
Longitudinal data are often available in cohort studies and clinical settings, such as covariates collected at cohort follow-up visits or prescriptions captured in electronic health records. Such longitudinal information, if correlates with...
Svetlana Cherlin,James M S Wason
Svetlana Cherlin
In several clinical areas, traditional clinical trials often use a responder outcome, a composite endpoint that involves dichotomising a continuous measure. An augmented binary method that improves power while retaining the original respond...
Joint time-to-event partial order continual reassessment method and Joint time-to-event Bayesian logistic regression model: Statistical designs for dual agent phase I/II dose finding studies with late-onset toxicity and activity outcomes [0.03%]
联合时间事件偏序连续再评估法和联合时间事件贝叶斯逻辑回归模型：具有迟发型毒性和活性结果的双药Ⅰ/Ⅱ期剂量寻找研究的统计设计
Helen Barnett,Oliver Boix,Dimitris Kontos et al.
Helen Barnett et al.
Dual agent dose-finding trials study the effect of a combination of more than one agent, where the objective is to find the Maximum Tolerated Dose Combination, the combination of doses of the two agents that is associated with a pre-specifi...
Modeling the effect of longitudinal markers on left-truncated time-to-event outcomes in twin studies [0.03%]
纵向标志物对双生子研究中左截断事件发生时间结局的影响效应的建模分析
Annah Muli,Mar Rodriguez-Girondo,Jeanine Houwing-Duistermaat
Annah Muli
The identification of biomarkers for disease onset in longitudinal studies necessitates precise estimation of the association between longitudinal markers and survival outcomes. Currently, methods for estimating these associations in the co...
Penalized estimation of general frailty Poisson models for recurrent count events [0.03%]
带有惩罚项的广义随机效应泊松模型在复发事件计数数据中的应用
Minggen Lu,Chin-Shang Li
Minggen Lu
We study spline-based efficient estimation of frailty models for panel count data using a penalization technique. An easy-to-implement and computationally efficient two-stage iterative expectation-maximization algorithm is proposed for the ...
Estimation of the short-term and long-term hazard ratios for interval-censored and truncated data [0.03%]
区间截断数据的短期和长期风险比估计
Rui Wang,Yiwei Fan
Rui Wang
Survival analysis is a vital field in statistics with widespread applications. The short-term and long-term hazard ratio model is a novel semiparametric framework designed to handle crossing survival curves, encompassing the proportional ha...