Glenn Heller,Sean M Devlin
Glenn Heller
Survival is poor for patients with metastatic cancer, and it is vital to examine new biomarkers that can improve patient prognostication and identify those who would benefit from more aggressive therapy. In metastatic prostate cancer, 2 new...
tdCoxSNN: Time-dependent Cox survival neural network for continuous-time dynamic prediction [0.03%]
tdCoxSNN：用于连续时间动态预测的时间依赖Cox生存神经网络
Lang Zeng,Jipeng Zhang,Wei Chen et al.
Lang Zeng et al.
The aim of dynamic prediction is to provide individualized risk predictions over time, which are updated as new data become available. In pursuit of constructing a dynamic prediction model for a progressive eye disorder, age-related macular...
Non-parametric Bayesian approach to multiple treatment comparisons in network meta-analysis with application to comparisons of anti-depressants [0.03%]
非参贝叶斯方法用于网络meta分析中的多种处理组比较及其在抗抑郁药物治疗效果评估中的应用
Andrés F Barrientos,Garritt L Page,Lifeng Lin
Andrés F Barrientos
Network meta-analysis is a powerful tool to synthesize evidence from independent studies and compare multiple treatments simultaneously. A critical task of performing a network meta-analysis is to offer ranks of all available treatment opti...
Estimating spatially varying health effects of wildland fire smoke using mobile health data [0.03%]
基于移动健康数据估计野火烟雾的时空变化对人体健康的影响
Lili Wu,Chenyin Gao,Shu Yang et al.
Lili Wu et al.
Wildland fire smoke exposures are an increasing threat to public health, highlighting the need for studying the effects of protective behaviours on reducing health outcomes. Emerging smartphone applications provide unprecedented opportuniti...
Joint modelling of survival and backwards recurrence outcomes: an analysis of factors associated with fertility treatment in the U.S [0.03%]
生存分析和逆向复发结果的联合建模：美国生育治疗相关因素分析
Siyuan Guo,Jiajia Zhang,Alexander C McLain
Siyuan Guo
The motivation for this paper is to determine factors associated with time-to-fertility treatment (TTFT) among women currently attempting pregnancy in a cross-sectional sample. Challenges arise due to dependence between time-to-pregnancy (T...
Walking fingerprinting [0.03%]
行走指纹技术
Lily Koffman,Ciprian Crainiceanu,Andrew Leroux
Lily Koffman
We consider the problem of predicting an individual's identity from accelerometry data collected during walking. In a previous paper, we transformed the accelerometry time series into an image by constructing the joint distribution of the a...
Multivariate longitudinal analysis for the association between brain atrophy and cognitive impairment in prodromal Huntington's disease subjects [0.03%]
多变量纵向分析在前驱亨廷顿病患者脑萎缩和认知障碍之间的关联研究
Cheng Zheng,Lili Tong,Ying Zhang
Cheng Zheng
Cognitive impairment has been widely accepted as a disease progression measure prior to the onset of Huntington's disease. We propose a sophisticated measurement error correction method that can handle potentially correlated measurement err...
Population-level task-evoked functional connectivity via Fourier analysis [0.03%]
基于傅里叶分析的群体水平任务诱发功能连接性研究
Kun Meng,Ani Eloyan
Kun Meng
Functional magnetic resonance imaging (fMRI) is a noninvasive and in-vivo imaging technique essential for measuring brain activity. Functional connectivity is used to study associations between brain regions, either while study subjects per...
Inverse set estimation and inversion of simultaneous confidence intervals [0.03%]
反向集估计及同时置信区间之逆问题研究
Junting Ren,Fabian J E Telschow,Armin Schwartzman
Junting Ren
Motivated by the questions of risk assessment in climatology (temperature change in North America) and medicine (impact of statin usage and coronavirus disease 2019 on hospitalized patients), we address the problem of estimating the set in ...
Unsupervised Bayesian classification for models with scalar and functional covariates [0.03%]
具有标量和函数型协变量模型的无监督贝叶斯分类方法
Nancy L Garcia,Mariana Rodrigues-Motta,Helio S Migon et al.
Nancy L Garcia et al.
We consider unsupervised classification by means of a latent multinomial variable which categorizes a scalar response into one of the L components of a mixture model which incorporates scalar and functional covariates. This process can be t...