Cover Image

Meta-analytic-predictive priors based on a single study

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Röver, Christian, Friede, Tim
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Investigating the heterogeneity of "study twins"
by: Röver, Christian, et al.
Published: (2023)

Utilizing subgroup information in random-effects meta-analysis of few studies
by: Huang, Ao, et al.
Published: (2025)

Subgroup comparisons within and across studies in meta-analysis
by: Panaro, Renato, et al.
Published: (2025)

How trace plots help interpret meta-analysis results
by: Röver, Christian, et al.
Published: (2023)

Consistent Bayesian meta-analysis on subgroup specific effects and interactions
by: Panaro, Renato, et al.
Published: (2025)

Bayesian random-effects meta-analysis of aggregate data on clinical events
by: Röver, Christian, et al.
Published: (2025)

Including historical control data in simultaneous inference for pre-clinical multi-arm studies
by: Menssen, Max, et al.
Published: (2026)

A studentized permutation test for the treatment effect in individual participant data meta-analysis
by: Tran, Phuc Thien, et al.
Published: (2025)

Identifying the potential of sample overlap in evidence synthesis of observational studies
by: Zhang, Zhentian, et al.
Published: (2026)

Investigating the Heterogeneity of “Study Twins”
by: Christian Röver, et al.
Published: (2024)

Comparing restricted mean survival times in small sample clinical trials using pseudo-observations
by: Jesse, David, et al.
Published: (2024)

A note on blinded continuous monitoring for continuous outcomes
by: Xu, Long-Hao, et al.
Published: (2025)

Blinded sample size re-estimation accounting for uncertainty in mid-trial estimation
by: Maeda, Hirotada, et al.
Published: (2026)

Translating predictive distributions into informative priors
by: Manderson, Andrew A., et al.
Published: (2023)

Bayesian Random‐Effects Meta‐Analysis of Aggregate Data on Clinical Events
by: Christian Röver, et al.
Published: (2026)

A two-step approach for analyzing time to event data under non-proportional hazards
by: Brugger, Jonas, et al.
Published: (2024)

Mixture priors for replication studies
by: Macrì-Demartino, Roberto, et al.
Published: (2024)

Wavelet shrinkage based on the raised cosine prior
by: Reina, Juliana Marchesi, et al.
Published: (2025)

Wasserstein complexity penalization priors: a new class of penalizing complexity priors
by: Bolin, David, et al.
Published: (2023)

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

Loss based prior for the degrees of freedom of the Wishart distribution
by: Rossini, Luca, et al.
Published: (2021)

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

Positive-definiteness in separable priors: effects on prior interpretability and inference
by: Carter, Jack Storror, et al.
Published: (2026)

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

Detecting and diagnosing prior and likelihood sensitivity with power-scaling
by: Kallioinen, Noa, et al.
Published: (2021)

Regularizing threshold priors with sparse response patterns in Bayesian factor analysis with categorical indicators
by: Padgett, R. Noah, et al.
Published: (2023)

Loss-based prior for tree topologies in BART models
by: Serafini, F., et al.
Published: (2024)

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

Dirichlet process mixtures of block $g$ priors for model selection and prediction in linear models
by: Porwal, Anupreet, et al.
Published: (2024)

Non-parametric finite-sample credible intervals with one-dimensional priors: a middle ground between Bayesian and frequentist intervals
by: Ritmeester, Tim
Published: (2026)

Bayesian design for mathematical models of fruit growth based on misspecified prior information
by: Najimuddin, Nushrath, et al.
Published: (2024)

A Bayesian functional model with multilevel partition priors for group studies in neuroscience
by: Margaritella, Nicolò, et al.
Published: (2023)

Infinitely divisible priors for multivariate survival functions
by: Brück, Florian
Published: (2025)

Sparsifying transform priors in Gaussian graphical models
by: Gehrmann, Marcus, et al.
Published: (2026)

The harms of class imbalance corrections for machine learning based prediction models: a simulation study
by: Carriero, Alex, et al.
Published: (2024)

Model selection-based estimation for generalized additive models using mixtures of g-priors: Towards systematization
by: Kang, Gyeonghun, et al.
Published: (2023)

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)

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

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

Expert-elicitation method for non-parametric joint priors using normalizing flows
by: Bockting, Florence, et al.
Published: (2024)