Cover Image

Information borrowing in Bayesian clinical trials: choice of tuning parameters for the robust mixture prior

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Weru, Vivienn, Kopp-Schneider, Annette, Wiesenfarth, Manuel, Weber, Sebastian, Calderazzo, Silvia
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Principled type I error rate inflation in two-arm clinical trial designs with external control information borrowing
by: Calderazzo, Silvia, et al.
Published: (2025)

Dynamic borrowing from historical controls via the synthetic prior with covariates in randomized clinical trials
by: Schwartz, Daniel E., et al.
Published: (2024)

Large Sample Inference with Dynamic Information Borrowing
by: Tarima, Sergey, et al.
Published: (2025)

Improving operating characteristics of clinical trials by augmenting control arm using propensity score-weighted borrowing-by-parts power prior
by: Das, Apu Chandra, et al.
Published: (2026)

A Bayesian model-free dose-finding approach in Phase II clinical trials with the flexibility of historical borrowing
by: Han, Linxi, et al.
Published: (2025)

Nonparametric priors with full-range borrowing of information
by: Ascolani, Filippo, et al.
Published: (2023)

Design and inference for multi-arm clinical trials with informational borrowing: the interacting urns design
by: Aletti, Giacomo, et al.
Published: (2024)

Nonparametric Bayesian approach for dynamic borrowing of historical control data
by: Ohigashi, Tomohiro, et al.
Published: (2024)

PPD-CPP: Pointwise predictive density calibrated-power prior in dynamically borrowing historical information
by: Wang, Shixuan, et al.
Published: (2025)

Improving randomized controlled trial analysis via data-adaptive borrowing
by: Gao, Chenyin, et al.
Published: (2023)

Adaptive clinical trial design with delayed treatment effects using elicited prior distributions
by: Salsbury, James, et al.
Published: (2025)

Bayesian sample size determination using robust commensurate priors with interpretable discrepancy weights
by: Whitehead, Lou E., et al.
Published: (2024)

Eliciting prior information from clinical trials via calibrated Bayes factor
by: Demartino, Roberto Macrì, et al.
Published: (2024)

Repulsive mixtures via the sparsity-inducing partition prior
by: Mozdzen, Alexander, et al.
Published: (2025)

Bayesian hierarchical models with calibrated mixtures of g-priors for assessing treatment effect moderation in meta-analysis
by: Wang, Qiao, et al.
Published: (2024)

BUPD: A Bayesian under-parameterized basket design with the unit information prior in oncology trials
by: Kitabayashi, Ryo, et al.
Published: (2024)

Sample size reassessment in Bayesian hybrid clinical trials
by: Ratta, Marco, et al.
Published: (2025)

Estimands and cumulative incidence function regression in clinical trials: some new results on interpretability and robustness
by: Bühler, Alexandra, et al.
Published: (2024)

Doubly robust estimation and sensitivity analysis with outcomes truncated by death in multi-arm clinical trials
by: Tong, Jiaqi, et al.
Published: (2024)

A basket trial design based on power priors
by: Baumann, Lukas, et al.
Published: (2023)

Variable selection via fused sparse-group lasso penalized multi-state models incorporating molecular data
by: Miah, Kaya, et al.
Published: (2024)

On regional treatment effect assessment using robust MAP priors
by: Zhang, Xin, et al.
Published: (2026)

Systematic comparison of Bayesian basket trial designs with unequal sample sizes and proposal of a new method based on power priors
by: Schmitt, Sabrina, et al.
Published: (2024)

Bayesian analysis of the causal reference-based model for missing data in clinical trials
by: Nansereko, Brendah, et al.
Published: (2025)

Bayesian mixture modeling using a mixture of finite mixtures with normalized inverse Gaussian weights
by: Iwashige, Fumiya, et al.
Published: (2025)

On integral priors for multiple comparison in Bayesian model selection
by: Salmerón, Diego, et al.
Published: (2024)

Opaque prior distributions in Bayesian latent variable models
by: Merkle, Edgar C., et al.
Published: (2023)

Penalizing complexity priors for Bayesian inference of circular models
by: Ye, Xiang, et al.
Published: (2025)

Evaluating the effect of different non-informative prior specifications on the Bayesian proportional odds model in randomised controlled trials: a simulation study
by: Selman, Chris J., et al.
Published: (2025)

Balancing the effective sample size in prior across different doses in the curve-free Bayesian decision-theoretic design for dose-finding trials
by: Xu, Jiapeng, et al.
Published: (2025)

Bayesian nonparametric mixtures of Archimedean copulas
by: Pan, Ruyi, et al.
Published: (2024)

A general Bayesian approach to design adaptive clinical trials with time-to-event outcomes
by: McGree, James M., et al.
Published: (2023)

Knowing what to know: Implications of the choice of prior distribution on the behavior of adaptive design optimization
by: Sloman, Sabina J., et al.
Published: (2023)

On robust Bayesian causal inference
by: Alexopoulos, Angelos, et al.
Published: (2025)

Quality Assured: Rethinking Annotation Strategies in Imaging AI
by: Rädsch, Tim, et al.
Published: (2024)

In silico clinical trials in drug development: a systematic review
by: Chen, Bohua, et al.
Published: (2025)

On the choice of the two tuning parameters for nonparametric estimation of an elliptical distribution generator
by: Ryan, Victor, et al.
Published: (2024)

Model-robust standardization in cluster-randomized trials
by: Li, Fan, et al.
Published: (2025)

Bayesian non-linear subspace shrinkage using horseshoe priors
by: Duda, Julia Christin, et al.
Published: (2024)

A class of priors to perform asymmetric Bayesian wavelet shrinkage
by: Sousa, Alex Rodrigo dos Santos
Published: (2024)