Cover Image

A Bayesian semi-parametric approach to causal mediation for longitudinal mediators and time-to-event outcomes with application to a cardiovascular disease cohort study

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bhandari, Saurabh, Daniels, Michael J., Josefsson, Maria, Lloyd-Jones, Donald M., Siddique, Juned
Format:	Preprint
Published:	2024
Subjects:	Methodology Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Causal mediation analysis for longitudinal and survival data in continuous time using Bayesian non-parametric joint models
by: Bhandari, Saurabh, et al.
Published: (2025)

Combining longitudinal cohort studies to examine cardiovascular risk factor trajectories across the adult lifespan
by: Aghabazaz, Zeynab, et al.
Published: (2025)

A Bayesian approach for unadjudicated events in cardiovascular disease cohort studies
by: Islam, Mirajul, et al.
Published: (2025)

A Joint Model of Longitudinal CVD Risk Factors, Medication Use, and Time-to-Terminal Events
by: Aghabazaz, Zeynab, et al.
Published: (2025)

A Bayesian Nonparametric Approach for Semi-Competing Risks with Application to Cardiovascular Health
by: Gelis-Cadena, Karina, et al.
Published: (2025)

Bayesian feature selection in joint models with application to a cardiovascular disease cohort study
by: Islam, Mirajul, et al.
Published: (2024)

Personalized feature threshold estimation in joint modelling of longitudinal and time-to-event data
by: Islam, Mirajul, et al.
Published: (2025)

On the Testing of complete causal mediation and its applications
by: Tsai, Yichin, et al.
Published: (2025)

Evaluating causal effects on time-to-event outcomes in an RCT in Oncology with treatment discontinuation
by: Ballerini, Veronica, et al.
Published: (2023)

A longitudinal Bayesian framework for estimating causal dose-response relationships
by: Luo, Yu, et al.
Published: (2025)

Residual lifetime prediction for heterogeneous degradation data by Bayesian semi-parametric method
by: Karmakar, Barin, et al.
Published: (2025)

crumble: A comprehensive framework for modern causal mediation analysis with intermediate confounding
by: Liu, Richard, et al.
Published: (2026)

A Bayesian joint model of multiple longitudinal and categorical outcomes with application to multiple myeloma using permutation-based variable importance
by: Alvares, Danilo, et al.
Published: (2024)

Comparison of methods for mediation analysis with multiple correlated mediators
by: Appah, Mary, et al.
Published: (2024)

Learning association from multiple intermediate events for dynamic prediction of survival: an application to cardiovascular disease prognosis
by: Yu, Tonghui, et al.
Published: (2026)

Correcting for bias due to mismeasured exposure in mediation analysis with a survival outcome
by: Cheng, Chao, et al.
Published: (2023)

Joint model for interval-censored semi-competing events and longitudinal data with subject-specific within and between visits variabilities
by: Courcoul, Léonie, et al.
Published: (2024)

A non-parametric U-statistic testing approach for multi-arm clinical trials with multivariate longitudinal data
by: Ghosh, Dhrubajyoti, et al.
Published: (2024)

A new method for augmenting short time series, with application to pain events in sickle cell disease
by: Utkarsh, Kumar, et al.
Published: (2026)

Robust Bayesian causal estimation for causal inference in medical diagnosis
by: Basu, Tathagata, et al.
Published: (2024)

A Bayesian joint model of multiple nonlinear longitudinal and competing risks outcomes for dynamic prediction in multiple myeloma: joint estimation and corrected two-stage approaches
by: Alvares, Danilo, et al.
Published: (2024)

Novel g-computation algorithms for time-varying actions with recurrent and semi-competing events
by: D'Alessio, Alena Sorensen, et al.
Published: (2026)

Inference for bivariate extremes via a semi-parametric angular-radial model
by: Murphy-Barltrop, Callum John Rowlandson, et al.
Published: (2024)

Microbial correlation: a semi-parametric model for investigating microbial co-metabolism
by: Shi, Haoran, et al.
Published: (2025)

Gender disparities in rehospitalisations after coronary artery bypass grafting: evidence from a sparse functional causal mediation analysis of the MIMIC-IV data
by: Xu, Henan, et al.
Published: (2024)

Sample size and power determination for assessing overall SNP effects in joint modeling of longitudinal and time-to-event data
by: Bian, Yuan, et al.
Published: (2026)

A scalable Bayesian double machine learning framework for high dimensional causal estimation, with application to racial disproportionality assessment
by: Luo, Yu, et al.
Published: (2025)

A comparison of mixed-models for the analysis of non-linear longitudinal data: application to late-life cognitive trajectories
by: Wagner, Maude, et al.
Published: (2024)

Comparison of methods for analyzing environmental mixtures effects on survival outcomes and application to a population-based cohort study
by: Mayer, Melanie N., et al.
Published: (2023)

Bayesian principal stratification with longitudinal data and truncation by death
by: Grossi, Giulio, et al.
Published: (2023)

Prenatal phthalate exposures and adiposity outcomes trajectories: a multivariate Bayesian factor regression approach
by: Nguyen, Phuc H., 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: Alt, Ethan M., et al.
Published: (2024)

A new statistical approach for joint modeling of longitudinal outcomes measured in electronic health records with clinically informative presence and observation processes
by: Du, Jiacong, et al.
Published: (2024)

Causal effects on non-terminal event time with application to antibiotic usage and future resistance
by: Zehavi, Tamir, et al.
Published: (2025)

DiPPER: A Bayesian approach to differential prevalence analysis with applications in microbiome studies
by: Pelto, Juho, et al.
Published: (2026)

Practical challenges in mediation analysis: A guide for applied researchers
by: Schuler, Megan S., et al.
Published: (2024)

Bayesian nonparametric mixtures of categorical directed graphs for heterogeneous causal inference
by: Castelletti, Federico, et al.
Published: (2024)

Long-term memory effects of an incremental blood pressure intervention in a mortal cohort
by: Josefsson, Maria, et al.
Published: (2023)

A Bayesian approach for fitting semi-Markov mixture models of cancer latency to individual-level data
by: Morsomme, Raphael, et al.
Published: (2024)

Penalized generalized linear mixed models for longitudinal outcomes in genetic association studies
by: St-Pierre, Julien, et al.
Published: (2025)