On efficient posterior inference in normalized power prior Bayesian analysis
From MaRDI portal
Publication:6563674
DOI10.1002/bimj.202200194zbMath1541.62301MaRDI QIDQ6563674
Min Wang, Keying Ye, Ming-Hui Chen, Zifei Han, Qiang Zhang
Publication date: 27 June 2024
Published in: Biometrical Journal (Search for Journal in Brave)
Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)
Cites Work
- Unnamed Item
- Bayesian Design of Noninferiority Trials for Medical Devices Using Historical Data
- The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
- A new Monte Carlo method for estimating marginal likelihoods
- Inference from iterative simulation using multiple sequences
- Power prior distributions for generalized linear models
- Normalized power prior Bayesian analysis
- Improved marginal likelihood estimation via power posteriors and importance sampling
- Bayesian Meta-Experimental Design: Evaluating Cardiovascular Risk in New Antidiabetic Therapies to Treat Type 2 Diabetes
- Hierarchical Commensurate and Power Prior Models for Adaptive Incorporation of Historical Information in Clinical Trials
- On the Foundations of Statistical Inference
- Robust meta‐analytic‐predictive priors in clinical trials with historical control information
- Marginal Likelihood Estimation via Power Posteriors
- On Optimality Properties of the Power Prior
- Asymptotic Statistics
- Bayesian Inference in the Presence of Intractable Normalizing Functions
- Power priors based on multiple historical studies for binary outcomes
- Simulating normalizing constants: From importance sampling to bridge sampling to path sampling
- A Study on the Power Parameter in Power Prior Bayesian Analysis
- Modified power prior with multiple historical trials for binary endpoints
- Bayesian leveraging of historical control data for a clinical trial with time-to-event endpoint
- On the normalized power prior
- New partition based measures for data compatibility and information gain
- A calibrated power prior approach to borrow information from historical data with application to biosimilar clinical trials
This page was built for publication: On efficient posterior inference in normalized power prior Bayesian analysis