Dongyan Yan,Subharup Guha
Dongyan Yan
Rapid technological advances have allowed for molecular profiling across multiple omics domains for clinical decision-making in many diseases, especially cancer. However, as tumor development and progression are biological processes involvi...
A defective cure rate quantile regression model for male breast cancer data [0.03%]
一种用于男性乳腺癌数据的缺陷治愈率分位数回归模型
Agatha Rodrigues,Patrick Borges,Bruno Santos
Agatha Rodrigues
In this article, we particularly address the problem of assessing the impact of different prognostic factors, such as clinical stage and age, on the specific survival times of men with breast cancer when cure is a possibility. To this end, ...
Latent class profile model with time-dependent covariates: a study on symptom patterning of patients for head and neck cancer [0.03%]
具有时间依赖性协变量的潜在类别轮廓模型及其在头颈部癌症患者症状模式研究中的应用
Jung Wun Lee,Hayley Dunnack Yackel
Jung Wun Lee
The latent class profile model (LCPM) is a widely used technique for identifying distinct subgroups within a sample based on observations' longitudinal responses to categorical items. This paper proposes an expanded version of LCPM by embed...
A robust Bayesian latent position approach for community detection in networks with continuous attributes [0.03%]
具有连续属性的网络社区检测的稳健贝叶斯潜在位置方法
Zhumengmeng Jin,Juan Sosa,Shangchen Song et al.
Zhumengmeng Jin et al.
The increasing prevalence of multiplex networks has spurred a critical need to take into account potential dependencies across different layers, especially when the goal is community detection, which is a fundamental learning task in networ...
Delaying bud-break on pecan trees: a Bayesian longitudinal multinomial regression approach [0.03%]
基于贝叶斯纵向多项逻辑回归的延迟 pecan 树发芽时间的方法研究
Dayna P Saldaña Zepeda,Richard Heerema,Ciro Velasco Cruz et al.
Dayna P Saldaña Zepeda et al.
A multivariate Bayesian Probit model is adapted to analyze a longitudinal multiclass-ordinal response, with a linear plateau as the longitudinal model. Measurements on pecan bud growth were collected on irregular time intervals, about a wee...
Change-point detection of the Kumaraswamy skew-t distribution based on modified information criterion [0.03%]
基于改进的信息准则的Kumaraswamy偏t分布变点检测
Jun Wang,Wei Ning
Jun Wang
In this paper, we study the change-point problem of the Kumaraswamy skew-t distribution. An approach based on the modified information criterion is proposed to detect the changes of the parameters of this distribution. Simulations have been...
Omar Hajjaji,Solym Mawaki Manou-Abi,Yousri Slaoui
Omar Hajjaji
In this paper, we consider estimating the parameters of univariate α-stable distributions and their mixtures. First, using a Gaussian kernel density distribution estimator, we propose an estimation method based on the characteristic functi...
Tests of covariate effects under finite Gaussian mixture regression models [0.03%]
有限高斯混合回归模型的检验 limburg_regression_model
Chong Gan,Jiahua Chen,Zeny Feng
Chong Gan
Mixture of regression model is widely used to cluster subjects from a suspected heterogeneous population due to differential relationships between response and covariates over unobserved subpopulations. In such applications, statistical evi...
Debasis Kundu
Debasis Kundu
The motivation of this work came from a data set obtained from an experiment performed on diabetic patients, with diabetic retinopathy disorder. The aim of this experiment is to test whether there is any significant difference between two d...
An optimal subsampling design for large-scale Cox model with censored data [0.03%]
大型删失数据Cox模型的最优抽样设计方法研究
Shiqi Liu,Zilong Xie,Ming Zheng et al.
Shiqi Liu et al.
Subsampling designs are useful for reducing computational load and storage cost for large-scale data analysis. For massive survival data with right censoring, we propose a class of optimal subsampling designs under the widely-used Cox model...