Nonparametric inference for the localization receiver operating characteristic curve and its extension to free-response image localization tasks [0.03%]
非参数化定位接收操作特性曲线的推理及其在自由响应图像定位任务中的扩展应用
Kaiyuan Liu,Xiao-Hua Zhou
Kaiyuan Liu
The localization receiver operating characteristic (LROC) and the free-response receiver operating characteristic (FROC) curves are popular methods for evaluating the performance of diagnostic tests concerning detecting and locating lesions...
Nonparametric change-point control charts for joint monitoring of mean and covariance with application to medical imaging data [0.03%]
一类非参数变化点控制图及其在医学图像数据中的应用
Guojun Liu,Jyun-You Chiang,Wen Liu et al.
Guojun Liu et al.
Monitoring medical imaging data is increasingly important in healthcare because image-derived quantitative features provide valuable information for assessing disease progression, diagnostic quality, and process stability. However, such dat...
Deep learning embedded latent class joint modelling of time-to-event and longitudinal data [0.03%]
基于深度学习的嵌入潜在类别联合模型在生存分析和纵向数据中的应用
Tristan John Elers Harris,Najmeh Nakhaei Rad,Sphiwe Bonakele Skhosana
Tristan John Elers Harris
Joint modelling of longitudinal and time-to-event data is a powerful tool for analysing complex medical data. Joint latent class models (JLCMs), in particular, provide additional prognostic insight by clustering subjects into latent subgrou...
Modeling treatment effects on absorbing outcomes in clinical trials: Leveraging longitudinal and ordinal data for efficiency gains [0.03%]
临床试验中吸收终点治疗效应的建模：利用纵向和有序数据提高效率
Chiara Di Gravio,Ran Tao,Yunbi Nam et al.
Chiara Di Gravio et al.
Randomized clinical trials in critically ill populations often use mortality at the end of follow-up as the primary outcome. When mortality is rare, composite outcomes that capture disease severity over time are frequently employed to impro...
A joint model for a longitudinal outcome and a progressive multistate model under a mixed observation scheme [0.03%]
混合观察方案下纵向结局与进展性多重状态过程的联合模型研究
Leif Erik Lovblom,Laurent Briollais,Bruce A Perkins et al.
Leif Erik Lovblom et al.
Joint models for longitudinal and event-time data can be used to understand the co-development of multiple correlated non-fatal outcomes, such as those encountered when studying diabetic microvascular complications. However, such models wer...
Efficient semi-supervised estimation of optimal individualized treatment regimes with survival outcome [0.03%]
有效估计生存结局最优个体化治疗方案的半监督估计方法
Xintong Li,Minghao Chen,Jialiang Li et al.
Xintong Li et al.
Individualized treatment regimes (ITRs) represent decision-making frameworks that tailor treatment assignments to individual patient characteristics. The value function of an ITR quantifies the expected outcome under a counterfactual scenar...
Vincent Jankovic,Lasse Fischer,Werner Brannath
Vincent Jankovic
In online multiple testing, an a priori unknown number of hypotheses are tested sequentially, that is, at each time point, a test decision for the current hypothesis has to be made using only the data available so far. Although many powerfu...
Regression analysis of misclassified current status data with potentially unknown test accuracy [0.03%]
误分类当前状态数据的回归分析及其潜在未知测试准确性研究
Zhixin Chen,Lianming Wang
Zhixin Chen
Current status data are frequently encountered in many real life cross-sectional epidemiological, demographic, and medical studies, where each subject is examined only once, and the failure time of interest is never exactly observed but kno...
Bayesian multivariate linear mixed-effects models with varied association structures [0.03%]
具有多种关联结构的贝叶斯多元线性混合效应模型
Aglina Lika,Dimitris Rizopoulos,Michelle E Kruijshaar et al.
Aglina Lika et al.
In medicine, multiple continuous outcomes are often repeatedly measured on each subject over time to assess disease severity. Usually, it is of interest to investigate the association between those outcomes, which may be measured at differe...
Inference about the ratio of age-standardized rates between two overlapping populations [0.03%]
关于两个重叠人口之间的年龄调整率比的推断
Jiangshan Zhang,Jiming Jiang,Mandi Yu
Jiangshan Zhang
We develop a robust bias-corrected method of inference about the ratio of age-standardized rates (RASR) for comparing the age-standardized rate (ASR) between a subpopulation and the whole population. Unlike previous methods, the proposed ap...