Being Bayesian in the 2020s: opportunities and challenges in the practice of modern applied Bayesian statistics
Building on a strong foundation of philosophy, theory, methods and computation over the
past three decades, Bayesian approaches are now an integral part of the toolkit for most …
past three decades, Bayesian approaches are now an integral part of the toolkit for most …
Using Bayesian statistics in confirmatory clinical trials in the regulatory setting: a tutorial review
SY Lee - BMC Medical Research Methodology, 2024 - Springer
Bayesian statistics plays a pivotal role in advancing medical science by enabling healthcare
companies, regulators, and stakeholders to assess the safety and efficacy of new treatments …
companies, regulators, and stakeholders to assess the safety and efficacy of new treatments …
Power priors for replication studies
The ongoing replication crisis in science has increased interest in the methodology of
replication studies. We propose a novel Bayesian analysis approach using power priors …
replication studies. We propose a novel Bayesian analysis approach using power priors …
Exploring the Connection Between the Normalized Power Prior and Bayesian Hierarchical Models
The power prior is a popular class of informative priors for incorporating information from
historical data. It involves raising the likelihood for the historical data to a power, which acts …
historical data. It involves raising the likelihood for the historical data to a power, which acts …
A review of dynamic borrowing methods with applications in pharmaceutical research
This non-technical review discusses the use of historical data in the design and analysis of
randomized controlled trials using a Bayesian approach. The focus is on comparing the …
randomized controlled trials using a Bayesian approach. The focus is on comparing the …
Bayesian Detection of Bias in Peremptory Challenges Using Historical Strike Data
United States law bars using peremptory strikes during jury selection because of prospective
juror race, ethnicity, sex, or membership in certain other cognizable classes. Here, we …
juror race, ethnicity, sex, or membership in certain other cognizable classes. Here, we …
The Scale Transformed Power Prior for Time-To-Event Data
In survival analysis, borrowing information from historical data can increase precision and
power. However existing methods often assume that both current and historical data are of …
power. However existing methods often assume that both current and historical data are of …
Using Bayesian Statistics in Confirmatory Clinical Trials in the Regulatory Setting
SY Lee - arXiv preprint arXiv:2311.16506, 2023 - arxiv.org
Bayesian statistics plays a pivotal role in advancing medical science by enabling healthcare
companies, regulators, and stakeholders to assess the safety and efficacy of new treatments …
companies, regulators, and stakeholders to assess the safety and efficacy of new treatments …
Incorporating Historical Information in Bayesian Clinical Trial Design Using the Normalized Power Prior
Y Shen - 2024 - cdr.lib.unc.edu
The power prior is a popular class of informative priors for incorporating information from
historical data. It involves raising the likelihood for the historical data to a power, which acts …
historical data. It involves raising the likelihood for the historical data to a power, which acts …
Transfer sequential Monte Carlo: A framework for Bayesian model transfer
A Bretherton - 2023 - eprints.qut.edu.au
Model transfer is the task of using information from source domains to improve inference on
a target domain with limited data. In real applications it is unclear when to transfer …
a target domain with limited data. In real applications it is unclear when to transfer …