Cover Image

Mediation Analysis With Bayesian Nonlinear Joint Models: Evaluation of the Treatment Causal Pathways Between Tumor Growth Kinetics and Overall Survival

Fuente: Wiley Open Access

Saved in:

Bibliographic Details
Main Authors:	Georgios Kazantzidis, Francois Mercier, Virginie Rondeau
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

Model‐Free Approach to Evaluate a Censored Intermediate Outcome as a Surrogate for Overall Survival
by: Xuan Wang, et al.
Published: (2025)

Survival Analysis Under the Aalen's Additive Hazards Model With Covariate Measurement Error: Application to Causal Mediation Analysis
by: Xialing Wen, et al.
Published: (2025)

Bridging the gap between two‐stage and joint models: The case of tumor growth inhibition and overall survival models
by: Danilo Alvares, et al.
Published: (2024)

A Novel Stratified Analysis Method for Testing and Estimating Overall Treatment Effects on Time‐To‐Event Outcomes Using Average Hazard With Survival Weight
by: Zihan Qian, et al.
Published: (2025)

A joint frailty model for recurrent and competing terminal events: Application to delirium in the ICU
by: Lacey H. Etzkorn, et al.
Published: (2024)

Structured Nonlinear Cure Model With Deep Neural Networks for High‐Dimensional Survival Analysis
by: Xingdong Feng, et al.
Published: (2026)

A Bayesian Approach to Estimate Causal Average Treatment Effects Under Unmeasured Confounding
by: Jinghong Zeng
Published: (2026)

A Causal Mediation Approach to Account for Interaction of Treatment and Intercurrent Events: Using Hypothetical Strategy
by: Kunpeng Wu, et al.
Published: (2024)

A Functional Approach to Testing Overall Effect of Interaction Between DNA Methylation and SNPs
by: Yvelin Gansou, et al.
Published: (2026)

Causal Mediation Analysis: A Summary‐Data Mendelian Randomization Approach
by: Shu‐Chin Lin, et al.
Published: (2025)

Bayesian Sensitivity Analysis for Causal Estimation With Time‐Varying Unmeasured Confounding
by: Yushu Zou, et al.
Published: (2026)

Instrumental Variable Model Average With Applications in Nonlinear Causal Inference
by: Dong Chen, et al.
Published: (2024)

Bayesian Hierarchical Models With Calibrated Mixtures of g‐priors for Assessing Treatment Effect Moderation in Meta‐Analysis
by: Qiao Wang, et al.
Published: (2026)

Model Validation for Survival Analysis by Smoothed Predictive Likelihood
by: Chengyuan Lu, et al.
Published: (2025)

A Bayesian Causal Model for Matrix‐Valued Exposures With Applications to Radiotherapy Planning
by: Zijin Liu, et al.
Published: (2026)

A Functional Joint Model for Survival and Multivariate Sparse Functional Data in Multi‐Cohort Alzheimer's Disease Study
by: Wenyi Wang, et al.
Published: (2026)

Group Lasso Based Selection for High‐Dimensional Mediation Analysis
by: Allan Jérolon, et al.
Published: (2026)

Joint Bayesian Hidden Markov Model With Subject‐Specific Transitions for Wearable Sensor Data
by: Wenbo Fei, et al.
Published: (2025)

Bayesian Expectile Joint Model With Varying Coefficient for Longitudinal and Semi‐Competing Risks Data
by: Feng Gu, et al.
Published: (2025)

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

Heterogeneous Mediation Analysis for Cox Proportional Hazards Model With Multiple Mediators
by: Rongqian Sun, et al.
Published: (2024)

Bayesian Spatial Relative Survival Model to Estimate the Loss in Life Expectancy and Crude Probability of Death for Cancer Patients
by: Yuliya Leontyeva, et al.
Published: (2025)

Jointly Modeling Time‐To‐Event and Longitudinal Data With Individual‐Specific Change Points: A Case Study in Modeling Tumor Burden
by: Ethan M. Alt, et al.
Published: (2025)

Flexible Bayesian Inference for Identifying Significantly Correlated Multiple Pathway Sets
by: PhilGeun Jin, et al.
Published: (2026)

Nonparametric Path‐Specific Effects on a Survival Outcome Through Multiple Time‐to‐Event Mediators
by: Yen‐Tsung Huang, et al.
Published: (2025)

Time‐Varying Hormonal Treatment and Metastasis‐Free Survival Among ER+ Breast Cancer Patients: A Natural History Modelling Approach
by: Letizia Orsini, et al.
Published: (2026)

Sample Size Estimation Using a Partially Clustered Frailty Model for Biomarker‐Strategy Designs With Multiple Treatments
by: Derek Dinart, et al.
Published: (2024)

Meta‐Analysis of Median Survival Times With Inverse‐Variance Weighting
by: Sean McGrath, et al.
Published: (2026)

Joint Bayesian Nowcasting of Severe Acute Respiratory Illness and COVID‐19 Positives in Brazil
by: Alba Halliday, et al.
Published: (2026)

Adaptive Sparsening and Smoothing of the Treatment Model for Longitudinal Causal Inference Using Outcome‐Adaptive LASSO and Marginal Fused LASSO
by: Mireille E. Schnitzer, et al.
Published: (2026)

A Bayesian Location‐Scale Joint Model for Time‐To‐Event and Multivariate Longitudinal Data With Association Based on Within‐Individual Variability
by: Marco Palma, et al.
Published: (2026)

Bayesian Empirical Likelihood Regression for Semiparametric Estimation of Optimal Dynamic Treatment Regimes
by: Weichang Yu, et al.
Published: (2024)

Exploring Causal Effects of Hormone‐ and Radio‐Treatments in an Observational Study of Breast Cancer Using Copula‐Based Semi‐Competing Risks Models
by: Tonghui Yu, et al.
Published: (2025)

Illustrating Implications of Misaligned Causal Questions and Statistics in Settings With Competing Events and Interest in Treatment Mechanisms
by: Takuya Kawahara, et al.
Published: (2026)

Analysis of Cohort Stepped Wedge Cluster‐Randomized Trials With Nonignorable Dropout via Joint Modeling
by: Alessandro Gasparini, et al.
Published: (2025)

A Bayesian Treatment Selection Design for Phase II Randomised Cancer Clinical Trials
by: Moka Komaki, et al.
Published: (2026)

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

An Augmented Likelihood Approach Incorporating Error‐Prone Auxiliary Data Into a Survival Analysis
by: Noorie Hyun, et al.
Published: (2025)

Random Survival Forest With Multiple Imputation Analysis for Case‐Cohort and Generalized Case‐Cohort Studies
by: Haolin Li, et al.
Published: (2025)

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)