Bora Jin,David B Dunson,Julia E Rager et al.
Bora Jin et al.
We aim to infer bioactivity of each chemical by assay endpoint combination, addressing sparsity of toxicology data. We propose a Bayesian hierarchical framework which borrows information across different chemicals and assay endpoints, facil...
Sparse tree-based clustering of microbiome data to characterize microbiome heterogeneity in pancreatic cancer [0.03%]
基于稀疏树的微生物组数据聚类以表征胰腺癌中的微生物组异质性
Yushu Shi,Liangliang Zhang,Kim-Anh Do et al.
Yushu Shi et al.
There is a keen interest in characterizing variation in the microbiome across cancer patients, given increasing evidence of its important role in determining treatment outcomes. Here our goal is to discover subgroups of patients with simila...
Combining cytotoxic agents with continuous dose levels in seamless phase I-II clinical trials [0.03%]
基于无缝设计的一期和二期临床试验中细胞毒性药物连续剂量水平的组合研究
José L Jiménez,Mourad Tighiouart
José L Jiménez
Phase I-II cancer clinical trial designs are intended to accelerate drug development. In cases where efficacy cannot be ascertained in a short period of time, it is common to divide the study in two stages: i) a first stage in which dose is...
Utility-based Bayesian personalized treatment selection for advanced breast cancer [0.03%]
基于效用的贝叶斯个性化治疗选择在晚期乳腺癌中的应用
Juhee Lee,Peter F Thall,Bora Lim et al.
Juhee Lee et al.
A Bayesian method is proposed for personalized treatment selection in settings where data are available from a randomized clinical trial with two or more outcomes. The motivating application is a randomized trial that compared letrozole plu...
Bayesian modelling strategies for borrowing of information in randomised basket trials [0.03%]
随机篮子试验中借信息的贝叶斯建模策略
Luke O Ouma,Michael J Grayling,James M S Wason et al.
Luke O Ouma et al.
Basket trials are an innovative precision medicine clinical trial design evaluating a single targeted therapy across multiple diseases that share a common characteristic. To date, most basket trials have been conducted in early-phase oncolo...
Yang Li,Hao Liu,Xiaoshen Wang et al.
Yang Li et al.
Length of stay (LOS) is an essential metric for the quality of hospital care. Published works on LOS analysis have primarily focused on skewed LOS distributions and the influences of patient diagnostic characteristics. Few authors have cons...
Daniel K Sewell
Daniel K Sewell
Screening is a powerful tool for infection control, allowing for infectious individuals, whether they be symptomatic or asymptomatic, to be identified and isolated. The resource burden of regular and comprehensive screening can often be pro...
Assessing predictive discrimination performance of biomarkers in the presence of treatment-induced dependent censoring [0.03%]
在治疗诱导的依赖性删失存在的情况下评估生物标志物的预测区分性能
Cuihong Zhang,Jing Ning,Steven H Belle et al.
Cuihong Zhang et al.
In medical studies, some therapeutic decisions could lead to dependent censoring for the survival outcome of interest. This is exemplified by a study of paediatric acute liver failure, where death was subject to dependent censoring due to l...
Sean M Devlin,Alexia Iasonos,John O&#x;Quigley
Sean M Devlin
We develop three approaches to phase I dose finding designs for engineered T cells in oncology. Our goal is to address a very particular difficulty in this clinical setting: an inability to fully administer the dose allocated to some patien...
Regularized regression on compositional trees with application to MRI analysis [0.03%]
基于正则化的组合树回归及其在磁共振成像分析中的应用
Bingkai Wang,Brian S Caffo,Xi Luo et al.
Bingkai Wang et al.
A compositional tree refers to a tree structure on a set of random variables where each random variable is a node and composition occurs at each non-leaf node of the tree. As a generalization of compositional data, compositional trees handl...