Bayesian methods have been playing a key role in transforming clinical research, providing a variety of new opportunities for efficient and flexible clinical trials. Bayesian topics are frequently explored in Perspectives on Enquiry and Evidence. Here are some of our most-read articles on Bayesian methods in 2022.
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- On Frequentist and Bayesian Sequential Clinical Trial Designs
- Bayesian Adaptive Clinical Trial Designs: INLA vs. MCMC
- The Uses of Bayesian Methods in Late-Phase Clinical Trial Strategy
- Developing Synthetic Control Arms Using Bayesian Models
- Bayesian Hierarchical Modelling for Histology-Independent Therapies
- Bayesian Methods for Historical Borrowing: Conjugate Priors
- How to Determine if Your Clinical Trial Has Sufficient Data
- Industry Voices: Dr. Parvin Fardipour on New Horizons in Data Science
- Career Perspectives: Interview with Charles Warne, Associate Director of Biostatistics
- What’s Ahead for Clinical Trial Design?
And here are some of our top posts on Bayesian methods from previous years that continued to be some of our most read throughout 2022:
- Introduction to Evidence Synthesis and Bayesian dynamic borrowing
- Use of Rolling-enrollment Designs to Accelerate Clinical Trials
- Decision Making in Early Clinical Development
- Bayesian Statistics and FDA Regulatory Acceptability
- Conditional Powers Vs Bayesian Predictive Power for Adaptive Sample Size Reassessment
- What's the Value of P?
- Use of Bayesian Approach in Basket Trial Design
- Bayesian Dose-Finding Designs – An Overview
- Role of Prediction and Causal Inference in Clinical Research
- Leveraging Synthetic and External Control Arms Using Bayesian Methods
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