Claudia Angelini,Daniela De Canditiis,Italia De Feis et al.
Claudia Angelini et al.
We propose AFTNet, a novel network-constraint survival analysis method based on the Weibull accelerated failure time (AFT) model solved by a penalized likelihood approach for variable selection and estimation. When using the log-linear repr...
Stakeholders' Perspectives on Current Issues in Data Monitoring Committees [0.03%]
数据监测委员会当前问题的相关方视角
Michael J Cartwright,Tim Friede,David Lawrence et al.
Michael J Cartwright et al.
Data Monitoring Committees (DMCs) are groups of experts that review accumulating data from one or more ongoing clinical studies and advise the Sponsor regarding the continuing safety of study subjects along with the continuing validity and ...
Multivariate Scalar on Multidimensional Distribution Regression With Application to Modeling the Association Between Physical Activity and Cognitive Functions [0.03%]
多元标量在多维分布回归中的应用以及其在身体活动与认知功能关联建模中的应用
Rahul Ghosal,Marcos Matabuena
Rahul Ghosal
We develop a new method for multivariate scalar on multidimensional distribution regression. Traditional approaches typically analyze isolated univariate scalar outcomes or consider unidimensional distributional representations as predictor...
Christian Röver,Tim Friede
Christian Röver
Meta-analyses are commonly performed based on random-effects models, while in certain cases one might also argue in favor of a common-effect model. One such case may be given by the example of two "study twins" that are performed according ...
Random Survival Forests With Competing Events: A Subdistribution-Based Imputation Approach [0.03%]
基于亚分布的随机生存森林竞争风险事件插补方法
Charlotte Behning,Alexander Bigerl,Marvin N Wright et al.
Charlotte Behning et al.
Random survival forests (RSF) can be applied to many time-to-event research questions and are particularly useful in situations where the relationship between the independent variables and the event of interest is rather complex. However, i...
False Discovery Rate Control for Lesion-Symptom Mapping With Heterogeneous Data via Weighted p-Values [0.03%]
基于加权p值的异质性数据病变-症状图谱的错误发现率控制方法研究
Siyu Zheng,Alexander C McLain,Joshua Habiger et al.
Siyu Zheng et al.
Lesion-symptom mapping studies provide insight into what areas of the brain are involved in different aspects of cognition. This is commonly done via behavioral testing in patients with a naturally occurring brain injury or lesions (e.g., s...
Yuan Zhang,Douglas E Schaubel
Yuan Zhang
Analysis of the restricted mean survival time (RMST) has become increasingly common in biomedical studies during the last decade as a means of estimating treatment or covariate effects on survival. Advantages of RMST over the hazard ratio (...
Sample Size Calculation Under Nonproportional Hazards Using Average Hazard Ratios [0.03%]
使用平均危险比计算非比例风险下的样本量
Ina Dormuth,Markus Pauly,Geraldine Rauch et al.
Ina Dormuth et al.
Many clinical trials assess time-to-event endpoints. To describe the difference between groups in terms of time to event, we often employ hazard ratios. However, the hazard ratio is only informative in the case of proportional hazards (PHs)...
Haoyu Chen,Werner Brannath,Andreas Futschik
Haoyu Chen
Subset selection methods aim to choose a nonempty subset of populations including a best population with some prespecified probability. An example application involves location parameters that quantify yields in agriculture to select the be...
Diego I Gallardo,Márcia Brandão,Jeremias Leão et al.
Diego I Gallardo et al.
We introduce a new modelling for long-term survival models, assuming that the number of competing causes follows a mixture of Poisson and the Birnbaum-Saunders distribution. In this context, we present some statistical properties of our mod...