Cover Image

Flexible Bayesian Inference for Identifying Significantly Correlated Multiple Pathway Sets

Fuente: Wiley Open Access

Saved in:

Bibliographic Details
Main Authors:	PhilGeun Jin, Youngho Yun, Inyoung Kim
Format:	Artículo Open Access
Published:	Wiley 2026
Subjects:	Statistics in Medicine
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bayesian Variable Selection for High‐Dimensional Mediation Analysis: Application to Metabolomics Data in Epidemiological Studies
by: Youngho Bae, et al.
Published: (2026)

Flexible Modeling of Time‐Dependent Covariate Effects in Survival Models With Correlated Competing Risks: Application to the Evaluation of Risk‐Reducing Salpingo‐Oophorectomy in Women With BRCA1 Pathogenic Variants
by: Seungwoo Lee, et al.
Published: (2026)

Testing Similarity of Parametric Competing Risks Models for Identifying Potentially Similar Pathways in Healthcare
by: Kathrin Möllenhoff, et al.
Published: (2024)

Flexible cost‐penalized Bayesian model selection: Developing inclusion paths with an application to diagnosis of heart disease
by: Erica M. Porter, et al.
Published: (2024)

Estimation and Inference for the Additive Mean Residual Life Model With Change Point in the Continuous Covariate
by: Yun Lin, et al.
Published: (2025)

Bayesian Borrowing With Multiple Heterogeneous Historical Studies Using Order Restricted Normalized Power Prior
by: Zifei Han, et al.
Published: (2025)

Flexible Empirical Bayesian Approaches to Pharmacovigilance for Simultaneous Signal Detection and Signal Strength Estimation in Spontaneous Reporting Systems Data
by: Yihao Tan, et al.
Published: (2025)

COMIC: A Bayesian Dose Optimization Design for Drug Combination in Multiple Indications With Application to CAR‐T Therapies
by: Kai Chen, et al.
Published: (2025)

A Bayesian Two‐Step Multiple Imputation Approach Based on Mixed Models for Missing EMA Data
by: Yiheng Wei, et al.
Published: (2025)

Mediation Analysis With Bayesian Nonlinear Joint Models: Evaluation of the Treatment Causal Pathways Between Tumor Growth Kinetics and Overall Survival
by: Georgios Kazantzidis, et al.
Published: (2026)

BayTetra : A Bayesian Semiparametric Approach for Testing Trajectory Differences
by: Wei Jin, et al.
Published: (2025)

Probability of Success for Establishing Noninferiority Across Multiple Visits: Extension of Covariate‐Adjusted Bayesian Hierarchical Modeling Framework
by: Yujie Zhao, et al.
Published: (2026)

A General Linear Mixed Effect Model to Infer Biomarker Correlations by Bridging Retrospectively Measured Data Across Multiple Studies
by: Chengjie Xiong, et al.
Published: (2025)

The Win Ratio Approach in Bayesian Monitoring for Two‐Arm Phase II Clinical Trial Designs With Multiple Time‐To‐Event Endpoints
by: Xinran Huang, et al.
Published: (2024)

Bayesian Network Meta‐Analysis With One or Two Continuous Outcomes Measured at Multiple Time Points Using Gaussian Random Walks With Drift
by: Pai‐Shan Cheng, et al.
Published: (2026)

Sequential Event Rate Monitoring
by: Dong‐Yun Kim, et al.
Published: (2026)

A Partially Randomized Patient Preference, Sequential, Multiple‐Assignment, Randomized Trial Design Analyzed via Weighted and Replicated Frequentist and Bayesian Methods
by: Marianthie Wank, et al.
Published: (2024)

Mendelian Randomization Methods for Causal Inference: Estimands, Identification and Inference
by: Minhao Yao, et al.
Published: (2026)

Probabilistic Clustering Using Multivariate Growth Mixture Model in Clinical Settings—A Scleroderma Example
by: Ji Soo Kim, et al.
Published: (2026)

Simultaneous Representation Learning of Multi‐Omics and Clinical Outcome Data via a Supervised Knowledge‐Guided Bayesian Factor Model
by: Qiyiwen Zhang, et al.
Published: (2026)

Modern Causal Inference Approaches to Improve Power for Subgroup Analysis in Randomized Controlled Trials
by: Antonio D'Alessandro, et al.
Published: (2026)

Asymptotic Properties of Matthews Correlation Coefficient
by: Yuki Itaya, et al.
Published: (2024)

Bayesian survival analysis with INLA
by: Danilo Alvares, et al.
Published: (2024)

A Novel Bayesian Spatio‐Temporal Surveillance Metric to Predict Emerging Infectious Disease Areas of High Disease Risk
by: Joanne Kim, et al.
Published: (2024)

Nonparametric Bayesian Meta‐Analysis Model With Change Point Detection: A Case Study on Time‐Varying Temperature–Mortality Associations
by: Daewon Yang, et al.
Published: (2026)

Smooth Hazards With Multiple Time Scales
by: Angela Carollo, et al.
Published: (2024)

Determining the Optimal Sequence of Multiple Tests
by: Lucas Böttcher, et al.
Published: (2025)

Confidence Set for the Cluster of a Spatial Scan Statistic
by: Junho Lee
Published: (2026)

Bayesian mixture modelling with ranked set samples
by: Amirhossein Alvandi, et al.
Published: (2024)

Bayesian Adaptive Enrichment Design for Continuous Biomarkers
by: Yue Tu, et al.
Published: (2025)

Tutorial on Bayesian Functional Regression Using Stan
by: Ziren Jiang, et al.
Published: (2025)

Time‐Varying Bayesian Network Meta‐Analysis
by: Patrick M. LeBlanc, et al.
Published: (2025)

A New Algorithm for Sampling Parameters in a Structured Correlation Matrix With Application to Estimating Optimal Combinations of Muscles to Quantify Progression in Duchenne Muscular Dystrophy
by: Michael K. Kim, et al.
Published: (2025)

New Quadratic Discriminant Analysis Algorithms for Correlated Audiometric Data
by: Fuyu Guo, et al.
Published: (2024)

Semiparametric Modeling of Biomarker Trajectory and Variability With Correlated Measurement Errors
by: Renwen Luo, et al.
Published: (2025)

Flexible parametrization of graph‐theoretical features from individual‐specific networks for prediction
by: Mariella Gregorich, et al.
Published: (2024)

A Bayesian Approach for Robust Longitudinal Envelope Models
by: Peng Zeng, et al.
Published: (2026)

Bayesian Additive Regression Trees for Group Testing Data
by: Madeleine E. St. Ville, et al.
Published: (2025)

Flexible and Interpretable Modeling of Overlapping Exposure Risks in Self‐Controlled Case Series Analysis
by: Xuezhixing Zhang, et al.
Published: (2026)

Group Sequential Trial Design Using Stepwise Monte Carlo for Increased Flexibility and Robustness
by: Amitay Kamber, et al.
Published: (2025)