Discover how credibility theory helps actuaries use historical data to estimate risks and set insurance premiums; learn how ...
Recently, we put together a template to help medical professionals explain a confusing process. Readers gave us very pointed feedback, so we updated it. By Ron Lieber Two months ago, I shared my tale ...
It is well known that standard frequentist inference breaks down in IV regressions with weak instruments. Bayesian inference with diffuse priors suffers from the same problem. We show that the issue ...
The BayesPPDSurv (Bayesian Power Prior Design for Survival Data) R package supports Bayesian power and type I error calculations and model fitting using the power and ...
ABSTRACT: Although the use of intermediate clinical endpoint or surrogate (correlate) of protection (CoP) has increased over the years, the validation of CoP for high efficacy vaccine trials has ...
Enweonye, I. and Umeh, E.U. (2025) Performance of Bayesian Priors in Validation of Correlate of Protection for High Efficacy Vaccine Trials. Open Access Library Journal, 12, 1-12. doi: ...
How relevant is the prior? Bayesian causal inference for dynamic perception in volatile environments
Not revised: This Reviewed Preprint includes the authors’ original preprint (without revision), an eLife assessment, and public reviews. Behavioural adjustments to different sources of uncertainty ...
While the majority of stroke researchers use frequentist statistics to analyze and present their data, Bayesian statistics are becoming more and more prevalent in stroke research. As opposed to ...
Copyright: © 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Frequentist and Bayesian ...
From the moment that Joe Biden announced his candidacy for President, in 2019, he has been attacked as being too old. At the time, Biden was seventy-six and cast himself as a “transitional” figure—a ...
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