Performance evaluation of dimensionality reduction techniques on high-dimensional DNA methylation data [0.03%]
高维DNA甲基化数据的降维方法性能评估
Kuldeep Kumar Sharma,Kuppan Gokulakrishnan,Binu V S et al.
Kuldeep Kumar Sharma et al.
DNA methylation (DNAm) is a key epigenetic modification, and datasets capturing DNAm are typically high-dimensional. Although dimension reduction (DR) techniques are commonly applied, it remains unclear how different DR methods perform spec...
A nonparametric dependent competing risk method for net survival analysis [0.03%]
一种非参数竞争风险法在净生存分析中的应用
Reuben Adatorwovor,Aurelien Latouche,Jason P Fine
Reuben Adatorwovor
Quantifying disease-specific survival in patients with competing risks is generally done when reliable cause of death (CoD) information is available. With known CoD, cause-specific and cumulative incidence functions for competing risk data ...
Benchmarking multi-step methods for the dynamic prediction of survival with numerous longitudinal predictors [0.03%]
具有众多纵向预测指标的生存动态预测的多步方法基准测试
Signorelli Mirko,Sophie Retif
Signorelli Mirko
In recent years, the growing availability of biomedical datasets featuring numerous longitudinal covariates has motivated the development of several multi-step methods for the dynamic prediction of survival outcomes. These methods employ ei...
Post-shrinkage strategies for nonlinear semiparametric regression models in low and high-dimensional settings [0.03%]
低维和高维设定下非线性和半参数回归模型收缩后的策略
S Ejaz Ahmed,Dursun Aydın,Ersin Yılmaz
S Ejaz Ahmed
This paper considers semiparametric estimation strategies for the nonlinear semiparametric regression model (NSRM) under the sparsity assumption by modifying the Gauss-Newton method for both low- and high-dimensional data scenarios. In the ...
DBMS: dynamic borrowing method for frequentist hybrid control designs based on historical-current data similarity [0.03%]
基于历史-当前数据相似性的频数混合控制设计的动态借用方法(DBMS)
Masahiro Kojima
Masahiro Kojima
Information borrowing from historical data is gaining increasing attention in clinical trials for rare and pediatric diseases, where small sample sizes may lead to insufficient statistical power for confirming efficacy. While Bayesian infor...
Bayesian competing risks survival modeling for assessing the cause of death of patients with heart failure [0.03%]
用于评估心力衰竭患者死亡原因的贝叶斯竞争风险生存分析模型
Jesús Gutiérrez-Botella,Carmen Armero,Thomas Kneib et al.
Jesús Gutiérrez-Botella et al.
Competing risks models are survival models with several events of interest acting in competition and whose occurrence is only observed for the event that occurs first in time. This paper presents a Bayesian approach to these models in which...
Pablo Martínez-Camblor,Sonia Pérez-Fernández
Pablo Martínez-Camblor
The binary classification problem (BCP) aims to correctly allocate subjects in one of two possible groups. The groups are frequently defined as having or not one characteristic of interest. With this goal, we are allowed to use different ty...
Enhanced doubly robust estimate with semiparametric models for causal inference of survival outcome [0.03%]
带有半参数模型的增强双重稳健估计用于生存结局因果推断
Tianmin Wu,Ao Yuan,Ming Tan
Tianmin Wu
In observational studies, the treatment assignment is typically not random. Even in randomized clinical trials, the randomization may be imperfect given the limitation of sample size. In these cases, traditional statistical methods may lead...
Copula-based Cox models for dependent current status data with a cure fraction [0.03%]
基于Copula的Cox模型用于依赖的当前状态数据和治愈分数
Shuying Wang,Danping Zhou,Yunfei Yang et al.
Shuying Wang et al.
Traditional survival analysis typically assumes that all subjects will eventually experience the event of interest given a sufficiently long follow-up period. Nevertheless, due to advancements in medical technology, researchers now frequent...
An enhanced approximate Bayesian computation method for stage-structured development models [0.03%]
一种改进的近似贝叶斯计算方法在阶段结构开发模型中的应用
Hoa Pham,Huong T T Pham,Kai Siong Yow
Hoa Pham
Multi-stage models for cohort data are widely used in various fields, including disease progression, the biological development of plants and animals, and laboratory studies of life cycle development. However, the likelihood functions of th...