Image de couverture de livre

Ordinal Sparse Neural Networks for Modeling Gene‐ and Imaging‐Environment Interactions

Fuente: Wiley Open Access

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Jiajing Xue, Yaqing Xu, Jingmao Li, Shuangge Ma, Kuangnan Fang
Format:	Artículo Open Access
Publié:	Wiley 2025
Sujets:	Statistics in Medicine
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Integrating Omics and Pathological Imaging Data for Cancer Prognosis via a Deep Neural Network‐Based Cox Model
par: Jingmao Li, et autres
Publié: (2026)

Bayesian Modeling of Cancer Outcomes Using Genetic Variables Assisted by Pathological Imaging Data
par: Yunju Im, et autres
Publié: (2025)

Robust Heterogeneity Adjustment for Gaussian Graphical Model With Latent Variables
par: Linxi Li, et autres
Publié: (2026)

Subgroup Testing in the Change‐Plane Cox Model
par: Xiao Zhang, et autres
Publié: (2025)

Federated Online Learning for Heterogeneous Multisource Streaming Data
par: Li, Jingmao, et autres
Publié: (2025)

Doubly Robust Estimators of the Restricted Mean Time in Favor Estimands in Individual‐ and Cluster‐Randomized Trials
par: Xi Fang, et autres
Publié: (2026)

Information‐incorporated sparse hierarchical cancer heterogeneity analysis
par: Wei Han, et autres
Publié: (2024)

The spike‐and‐slab quantile LASSO for robust variable selection in cancer genomics studies
par: Yuwen Liu, et autres
Publié: (2024)

A Multi‐Phenotype Approach to Joint Testing of Main Genetic and Gene‐Environment Interaction Effects
par: Saurabh Mishra, et autres
Publié: (2025)

Location‐Scale Latent Process Model for Repeated Ordinal Patient‐Reported Outcomes
par: Agnieszka Król, et autres
Publié: (2026)

Longitudinal Extension of the Win Odds for Ordinal Repeated Measurements
par: Yongxi Long, et autres
Publié: (2026)

A Brief Introduction on Latent Variable Based Ordinal Regression Models With an Application to Survey Data
par: Johannes Wieditz, et autres
Publié: (2024)

Accounting for Patient Characteristics in a Model‐Based Kappa of Agreement Between Two Experts' Ordinal Ratings
par: Kerrie P. Nelson, et autres
Publié: (2025)

Inference About Separable Causal Effects With Longitudinal Bivariate Ordinal Responses With Missingness and Censoring
par: Pingbo Hu, et autres
Publié: (2026)

Cumulative Logit Ordinal Regression With Proportional Odds Under Nonignorable Missing Responses—Application to Phase III Trial
par: Arnab Kumar Maity, et autres
Publié: (2025)

Structured Nonlinear Cure Model With Deep Neural Networks for High‐Dimensional Survival Analysis
par: Xingdong Feng, et autres
Publié: (2026)

Deep Neural Network‐Based Accelerated Failure Time Models Using Rank Loss
par: Gwangsu Kim, et autres
Publié: (2024)

A Functional Joint Model for Survival and Multivariate Sparse Functional Data in Multi‐Cohort Alzheimer's Disease Study
par: Wenyi Wang, et autres
Publié: (2026)

Equivalency Between the Generalized Bivariate Bernoulli Model Dependency Test and a Logistic Regression Model With Interaction Effects
par: Kazi Md Farhad Mahmud, et autres
Publié: (2025)

Weighted Expectile Regression Neural Networks for Right Censored Data
par: Feipeng Zhang, et autres
Publié: (2024)

Optimal Linear Combination of Biomarkers by Weighted Youden Index Maximization
par: Sizhe Wang, et autres
Publié: (2025)

Radiomics of PET Using Neural Networks for Prediction of Alzheimer's Disease Diagnosis
par: Yimo Zhang, et autres
Publié: (2025)

Functional Principal Component Analysis as an Alternative to Mixed‐Effect Models for Describing Sparse Repeated Measures in Presence of Missing Data
par: Corentin Ségalas, et autres
Publié: (2024)

Unsupervised Sparse Multi‐Task Learning With Application to Alzheimer's Disease
par: Hao Chen, et autres
Publié: (2026)

Model‐Robust Standardization in Cluster‐Randomized Trials
par: Fan Li, et autres
Publié: (2025)

Modeling multiple‐criterion diagnoses by heterogeneous‐instance logistic regression
par: Chun‐Hao Yang, et autres
Publié: (2024)

Improved Pharmacovigilance Signal Detection Using Bayesian Generalized Linear Mixed Models
par: Paloma Hauser, et autres
Publié: (2025)

Generalized Functional Linear Regression Models With Functional and Scalar Covariates Prone to Measurement Error
par: Yuanyuan Luan, et autres
Publié: (2026)

Semiparametric Modeling of Biomarker Trajectory and Variability With Correlated Measurement Errors
par: Renwen Luo, et autres
Publié: (2025)

Bayesian Estimation of Hierarchical Linear Models From Incomplete Data: Cluster‐Level Interaction Effects and Small Sample Sizes
par: Dongho Shin, et autres
Publié: (2025)

scCOSMIX: A Mixed‐Effects Framework for Differential Coexpression and Transcriptional Interactions Modeling in Single‐Cell RNA‐Seq
par: Anderson Bussing, et autres
Publié: (2025)

Dynamic Factor Analysis for Sparse and Irregular Longitudinal Data: An Application to Metabolite Measurements in a COVID‐19 Study
par: Jiachen Cai, et autres
Publié: (2026)

A novel block‐coordinate gradient descent algorithm for simultaneous grouped selection of fixed and random effects in joint modeling
par: Shuyan Chen, et autres
Publié: (2024)

Likelihood Confidence Intervals for Misspecified Cox Models
par: Yongwu Shao, et autres
Publié: (2026)

An Efficient Estimation Method for Additive Subdistribution Hazards Model With Left‐Truncated Competing Risks Data Under the Case‐Cohort Study Design
par: Xi Fang, et autres
Publié: (2025)

A New Streaming K‐Nearest Neighbor Algorithm for Status Prediction in Block‐Sparse, Autocorrelated, Irregular Longitudinal Data
par: Xin Zhao, et autres
Publié: (2025)

Statistical Inference for Tensor‐Based Covariates in Cox Regression Modeling in Integrated Genome Studies
par: Chin‐Chun Chen, et autres
Publié: (2025)

On GEE for Mean‐Variance‐Correlation Models: Variance Estimation and Model Selection
par: Zhenyu Xu, et autres
Publié: (2024)

A Modification to Two‐Stage Least Squares With Genetic Applications
par: Lei Fang, et autres
Publié: (2025)

Fractional accumulative calibration‐free odds (f‐aCFO) design for delayed toxicity in phase I clinical trials
par: Jialu Fang, et autres
Publié: (2024)