Bayesian hierarchical models with calibrated mixtures of g-priors for assessing treatment effect moderation in meta-analysis
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Qiao, Hong, Hwanhee |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On regional treatment effect assessment using robust MAP priors
by: Zhang, Xin, et al.
Published: (2026)
by: Zhang, Xin, et al.
Published: (2026)
Bayesian Hierarchical Model for Synthesizing Registry and Survey Data on Female Breast Cancer Prevalence
by: Wang, Qiao, et al.
Published: (2024)
by: Wang, Qiao, et al.
Published: (2024)
Sparse two-stage Bayesian meta-analysis for individualized treatments
by: Shen, Junwei, et al.
Published: (2024)
by: Shen, Junwei, et al.
Published: (2024)
Consistent Bayesian meta-analysis on subgroup specific effects and interactions
by: Panaro, Renato, et al.
Published: (2025)
by: Panaro, Renato, et al.
Published: (2025)
Identifying Brexit voting patterns in the British House of Commons: an analysis based on Bayesian mixture models with flexible concomitant covariate effects
by: Berrettini, Marco, et al.
Published: (2021)
by: Berrettini, Marco, et al.
Published: (2021)
A Bayesian multivariate extreme value mixture model
by: Hu, Chenglei, et al.
Published: (2024)
by: Hu, Chenglei, et al.
Published: (2024)
Multivariate incremental effects for continuous treatments: Studying the health effects of environmental mixtures
by: Huang, Zhuochao, et al.
Published: (2026)
by: Huang, Zhuochao, et al.
Published: (2026)
PPD-CPP: Pointwise predictive density calibrated-power prior in dynamically borrowing historical information
by: Wang, Shixuan, et al.
Published: (2025)
by: Wang, Shixuan, et al.
Published: (2025)
Eliciting prior information from clinical trials via calibrated Bayes factor
by: Demartino, Roberto Macrì, et al.
Published: (2024)
by: Demartino, Roberto Macrì, et al.
Published: (2024)
A Bayesian functional model with multilevel partition priors for group studies in neuroscience
by: Margaritella, Nicolò, et al.
Published: (2023)
by: Margaritella, Nicolò, et al.
Published: (2023)
A Bayesian hierarchical mixture cure modelling framework to utilize multiple survival datasets for long-term survivorship estimates: A case study from previously untreated metastatic melanoma
by: Green, Nathan, et al.
Published: (2024)
by: Green, Nathan, et al.
Published: (2024)
Regularizing threshold priors with sparse response patterns in Bayesian factor analysis with categorical indicators
by: Padgett, R. Noah, et al.
Published: (2023)
by: Padgett, R. Noah, et al.
Published: (2023)
Robust Bayesian hierarchical models for basket trials enabling joint evaluation of toxicity and efficacy
by: Cao, Zhi, et al.
Published: (2025)
by: Cao, Zhi, et al.
Published: (2025)
Bayesian calendar-time survival analysis with epidemic curve priors and variant-specific infection hazards
by: Dahl, Angela M, et al.
Published: (2026)
by: Dahl, Angela M, et al.
Published: (2026)
Beyond data: leveraging non-empirical information and expert knowledge in Bayesian model calibration
by: Vollert, Sarah A., et al.
Published: (2025)
by: Vollert, Sarah A., et al.
Published: (2025)
A unifying modelling approach for hierarchical distributed lag models
by: Economou, Theo, et al.
Published: (2024)
by: Economou, Theo, et al.
Published: (2024)
Producing treatment hierarchies in network meta-analysis using probabilistic models and treatment-choice criteria
by: Evrenoglou, Theodoros, et al.
Published: (2024)
by: Evrenoglou, Theodoros, et al.
Published: (2024)
Bayesian sample size determination using robust commensurate priors with interpretable discrepancy weights
by: Whitehead, Lou E., et al.
Published: (2024)
by: Whitehead, Lou E., et al.
Published: (2024)
Methods of multi-indication meta-analysis for health technology assessment: a simulation study
by: Glynn, David, et al.
Published: (2025)
by: Glynn, David, et al.
Published: (2025)
Bayesian nonparametric mixtures of categorical directed graphs for heterogeneous causal inference
by: Castelletti, Federico, et al.
Published: (2024)
by: Castelletti, Federico, et al.
Published: (2024)
Loss-based prior for tree topologies in BART models
by: Serafini, F., et al.
Published: (2024)
by: Serafini, F., et al.
Published: (2024)
Logistic regression models: practical induced prior specification
by: Newman, Ken B., et al.
Published: (2025)
by: Newman, Ken B., et al.
Published: (2025)
Bayesian Evidence Synthesis for the common effect model
by: Nikolakopoulos, Stavros, et al.
Published: (2021)
by: Nikolakopoulos, Stavros, et al.
Published: (2021)
A Bayesian hierarchical framework for fusion of remote sensing data: An example with solar-induced fluorescence
by: Johny, Manju, et al.
Published: (2025)
by: Johny, Manju, et al.
Published: (2025)
Comparison of Bayesian methods for extrapolation of treatment effects: a large scale simulation study
by: Fauvel, Tristan, et al.
Published: (2025)
by: Fauvel, Tristan, et al.
Published: (2025)
Efficient Bayesian inference for non-linear association structures in joint models: A hierarchical approach via INLA
by: Rustand, Denis, et al.
Published: (2026)
by: Rustand, Denis, et al.
Published: (2026)
A mixture distribution approach for assessing genetic impact from twin study
by: Hu, Zonghui, et al.
Published: (2025)
by: Hu, Zonghui, et al.
Published: (2025)
Multidimensional constructs and moderated linear and nonlinear factor analysis
by: Padgett, R. Noah
Published: (2025)
by: Padgett, R. Noah
Published: (2025)
A Bayesian approach for fitting semi-Markov mixture models of cancer latency to individual-level data
by: Morsomme, Raphael, et al.
Published: (2024)
by: Morsomme, Raphael, et al.
Published: (2024)
Bayesian variable selection in a Cox proportional hazards model with the "Sum of Single Effects" prior
by: Yang, Yunqi, et al.
Published: (2025)
by: Yang, Yunqi, et al.
Published: (2025)
Precision Mental Health: Predicting Heterogeneous Treatment Effects for Depression through Data Integration
by: Brantner, Carly L., et al.
Published: (2025)
by: Brantner, Carly L., et al.
Published: (2025)
Borrowing strength between unaligned binary time-series via Bayesian nonparametric rescaling of Unified Skewed Normal priors
by: Cantoni, Beatrice, et al.
Published: (2025)
by: Cantoni, Beatrice, et al.
Published: (2025)
Mixture priors for replication studies
by: Macrì-Demartino, Roberto, et al.
Published: (2024)
by: Macrì-Demartino, Roberto, et al.
Published: (2024)
Prior distributions for Gaussian processes in computer model emulation and calibration
by: Gu, Mengyang, et al.
Published: (2025)
by: Gu, Mengyang, et al.
Published: (2025)
Finite mixture copulas for modeling dependence in longitudinal count data
by: Chattopadhyay, Subhajit
Published: (2024)
by: Chattopadhyay, Subhajit
Published: (2024)
Deep mixture of linear mixed models for complex longitudinal data
by: Kock, Lucas, et al.
Published: (2023)
by: Kock, Lucas, et al.
Published: (2023)
Hidden Markov models with an unknown number of states and a repulsive prior on the state parameters
by: Rotous, Ioannis, et al.
Published: (2024)
by: Rotous, Ioannis, et al.
Published: (2024)
Multivariate reconciliation for hierarchical time series
by: Pinheiro, Ana Caroline, et al.
Published: (2026)
by: Pinheiro, Ana Caroline, et al.
Published: (2026)
Reference prior for Bayesian estimation of seismic fragility curves
by: Van Biesbroeck, Antoine, et al.
Published: (2023)
by: Van Biesbroeck, Antoine, et al.
Published: (2023)
Consistency assessment and regional sample size calculation for MRCTs under random effects model
by: Ren, Xinru, et al.
Published: (2025)
by: Ren, Xinru, et al.
Published: (2025)
Similar Items
-
On regional treatment effect assessment using robust MAP priors
by: Zhang, Xin, et al.
Published: (2026) -
Bayesian Hierarchical Model for Synthesizing Registry and Survey Data on Female Breast Cancer Prevalence
by: Wang, Qiao, et al.
Published: (2024) -
Sparse two-stage Bayesian meta-analysis for individualized treatments
by: Shen, Junwei, et al.
Published: (2024) -
Consistent Bayesian meta-analysis on subgroup specific effects and interactions
by: Panaro, Renato, et al.
Published: (2025) -
Identifying Brexit voting patterns in the British House of Commons: an analysis based on Bayesian mixture models with flexible concomitant covariate effects
by: Berrettini, Marco, et al.
Published: (2021)