Wei Cao,Shanshan Wang,Hanyu Zhong
Wei Cao
Statistical modeling and estimation for heterogeneous censored survival data is of great practical importance, as exemplified by applications in bio-medicine. Censored quantile and expectile regression methods offer useful tools to capture ...
Generalizing the Finkelstein-Schoenfeld Test to Incorporate Multiple Alternating Thresholds [0.03%]
兼有多个交替阈值的芬克尔斯坦-许恩费尔德检验的推广方法
Yunhan Mou,Tassos Kyriakides,Scott Hummel et al.
Yunhan Mou et al.
Composite endpoints consisting of both terminal and nonterminal events, such as death and hospitalization, are frequently used in cardiovascular clinical trials. The Finkelstein-Schoenfeld (FS) test provides a way to employ a hierarchical s...
Deriving Duration Time From Occupancy Data-A Case Study in the Length of Stay in Intensive Care Units for COVID-19 Patients [0.03%]
从占用数据推导持续时间：COVID-19患者重症监护病房住院时长的案例研究
Martje Rave,Göran Kauermann
Martje Rave
This paper focuses on drawing information on underlying processes, which are not directly observed in the data. In particular, we work with data in which only the total count of units in a system at a given time point is observed, but the u...
Signpost Testing to Navigate the Parameter Space of the Gaussian Graphical Model With High-Dimensional Data [0.03%]
高维数据下单变量选择在具方差组的图模型参数空间导航中的作用
Kai Ruan,Mark A van de Wiel,Wessel N van Wieringen
Kai Ruan
We evaluate the relevance of external quantitative information on the parameter of a Gaussian graphical model from high-dimensional data. This information comes in the form of a parameter value available from a related knowledge domain or p...
Time-Dependent Mediators in Survival Analysis: Graphical Representation of Causal Assumptions [0.03%]
生存分析中的时变中介因素：因果假设的图形表示方法
Søren Wengel Mogensen,Odd O Aalen,Susanne Strohmaier
Søren Wengel Mogensen
We study time-dependent mediators in survival analysis using a treatment separation approach due to Didelez [Lifetime Data Analysis 25, no. 4: 593-610] and based on earlier work by Robins and Richardson [Causality and Psychopathology: Findi...
The Challenge of Time-to-Event Analysis for Multiple Events: A Guided Tour From Time-to-First-Event to Recurrent Time-to-Event Analysis [0.03%]
多重事件时间事件分析的挑战：从初次事件时间到反复事件时间分析的指南式探讨
Sandra Schmeller,Alexandra Erdmann,Jan Beyersmann et al.
Sandra Schmeller et al.
Clinical trials often compare a treatment to a control group concerning multiple possible combined time-to-event endpoints like hospital-free survival. Thereby, the first endpoint may occur more than once ("recurrent"), whereas the second e...
Analysis of Multiple Outcomes in Contaminated Trials Reinforced With Validation Data [0.03%]
补充验证数据的污染试验的多重结果分析方法研究
Solomon W Harrar,Zi Ye
Solomon W Harrar
This paper is concerned with estimation and testing for treatment effects with multivariate outcomes. It primarily focuses on the situation where imperfect diagnostic tools are used to classify subjects into different groups. Oftentimes, th...
Time-Dependent Predictive Accuracy Metrics in the Context of Interval Censoring and Competing Risks [0.03%]
区间截断和竞争风险下的时间依赖预测准确性指标
Zhenwei Yang,Dimitris Rizopoulos,Lisa F Newcomb et al.
Zhenwei Yang et al.
Evaluating the performance of a prediction model is a common task in medical statistics. Standard accuracy metrics require the observation of the true outcomes. This is typically not possible in the setting with time-to-event outcomes due t...
Informative Co-Data Learning for High-Dimensional Horseshoe Regression [0.03%]
用于高维数据岭回归的 informative co-data 学习方法研究
Claudio Busatto,Mark A van de Wiel
Claudio Busatto
High-dimensional data often arise from clinical genomics research to infer relevant predictors of a particular trait. A way to improve the predictive performance is by incorporating information about the predictors obtained from existing fr...
Modified Skew Discrete Laplace Regression Models for Integer-Valued Data With Applications to Paired Samples [0.03%]
用于整数值数据的修正斜率离散拉普拉斯回归模型及其在配对样本中的应用
Rodrigo M R de Medeiros,Marcelo Bourguignon
Rodrigo M R de Medeiros
Modeling events associated with discrete-valued observations arises in several practical situations. Until now, research on statistical methods for discrete data has primarily focused on modeling count data. Nevertheless, discrete observati...