Borrowing of information across patient subgroups in a basket trial based on distributional discrepancy [0.03%]
基于分布差异的篮式试验中亚组间信息借用方法研究
Haiyan Zheng,James M S Wason
Haiyan Zheng
Basket trials have emerged as a new class of efficient approaches in oncology to evaluate a new treatment in several patient subgroups simultaneously. In this article, we extend the key ideas to disease areas outside of oncology, developing...
Direct modeling of the crude probability of cancer death and the number of life years lost due to cancer without the need of cause of death: a pseudo-observation approach in the relative survival setting [0.03%]
无需死亡原因直接建模癌症粗死亡概率和生命年损失的伪观测方法
Dimitra-Kleio Kipourou,Maja Pohar Perme,Bernard Rachet et al.
Dimitra-Kleio Kipourou et al.
In population-based cancer studies, net survival is a crucial measure for population comparison purposes. However, alternative measures, namely the crude probability of death (CPr) and the number of life years lost (LYL) due to death accord...
Matrix decomposition for modeling lesion development processes in multiple sclerosis [0.03%]
矩阵分解在多发性硬化症病灶发展过程建模中的应用研究
Menghan Hu,Ciprian Crainiceanu,Matthew K Schindler et al.
Menghan Hu et al.
Our main goal is to study and quantify the evolution of multiple sclerosis lesions observed longitudinally over many years in multi-sequence structural magnetic resonance imaging (sMRI). To achieve that, we propose a class of functional mod...
Two-part joint model for a longitudinal semicontinuous marker and a terminal event with application to metastatic colorectal cancer data [0.03%]
用于纵向半连续标记物和终事件的两部分联合模型及其在转移性结直肠癌数据中的应用
Denis Rustand,Laurent Briollais,Christophe Tournigand et al.
Denis Rustand et al.
Joint models for a longitudinal biomarker and a terminal event have gained interests for evaluating cancer clinical trials because the tumor evolution reflects directly the state of the disease. A biomarker characterizing the tumor size evo...
A hidden Markov modeling approach for identifying tumor subclones in next-generation sequencing studies [0.03%]
一种用于在下一代测序研究中识别肿瘤亚克隆的隐马尔可夫模型方法
Hyoyoung Choo-Wosoba,Paul S Albert,Bin Zhu
Hyoyoung Choo-Wosoba
Allele-specific copy number alteration (ASCNA) analysis is for identifying copy number abnormalities in tumor cells. Unlike normal cells, tumor cells are heterogeneous as a combination of dominant and minor subclones with distinct copy numb...
A Bayesian nonparametric approach for evaluating the causal effect of treatment in randomized trials with semi-competing risks [0.03%]
半竞争风险下随机试验处理组因果效应的贝叶斯非参数方法评估
Yanxun Xu,Daniel Scharfstein,Peter Müller et al.
Yanxun Xu et al.
We develop a Bayesian nonparametric (BNP) approach to evaluate the causal effect of treatment in a randomized trial where a nonterminal event may be censored by a terminal event, but not vice versa (i.e., semi-competing risks). Based on the...
Ying Wu,Richard J Cook
Ying Wu
We develop methods for assessing the predictive accuracy of a given event time model when the validation sample is comprised of case $K$ interval-censored data. An imputation-based, an inverse probability weighted (IPW), and an augmented in...
Geographically dependent individual-level models for infectious diseases transmission [0.03%]
地理依赖的传染病个体水平传播模型
M D Mahsin,Rob Deardon,Patrick Brown
M D Mahsin
Infectious disease models can be of great use for understanding the underlying mechanisms that influence the spread of diseases and predicting future disease progression. Modeling has been increasingly used to evaluate the potential impact ...
A mixed-model approach for powerful testing of genetic associations with cancer risk incorporating tumor characteristics [0.03%]
一种混合模型方法，通过纳入肿瘤特征以提高遗传关联的癌症风险检测功效
Haoyu Zhang,Ni Zhao,Thomas U Ahearn et al.
Haoyu Zhang et al.
Cancers are routinely classified into subtypes according to various features, including histopathological characteristics and molecular markers. Previous genome-wide association studies have reported heterogeneous associations between loci ...
Dustin J Rabideau,Rui Wang
Dustin J Rabideau
In a cluster randomized trial (CRT), groups of people are randomly assigned to different interventions. Existing parametric and semiparametric methods for CRTs rely on distributional assumptions or a large number of clusters to maintain nom...