A new study offers insights into the relative efficacy of various treatments for alopecia areata (AA), suggesting that ...

A new project by a team of researchers across the nation analyzes the ways in which digitized health data, artificial ...

In doing so, it aimed to provide the reader with a high-level understanding of a Bayesian analysis, how a trial should be reported, and what these reported methods and results actually mean.

(1) Bayesian statistics offer an alternative framework for data interpretation that provides the probability of a hypothesized treatment effect utilizing all available data. As Bayes´s approach ...

In the real-data analysis, we apply the method to Mtb genomic data, inferring dormancy parameters, mutation rates, and genealogical structures that align with epidemiological observations.

We have presented a standard workflow for Bayesian analysis of multi-region cell-count data. We propose a likelihood and appropriate priors with a nested hierarchical structure reflecting the ...

Doing Bayesian Data Analysis - Python/PyMC3 This repository contains Python/ PyMC3 code for a selection of models and figures from the book 'Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and ...

Frequentist and Bayesian statistics represent two differing paradigms for the analysis of data. Frequentism became the dominant mode of statistical thinking in medical practice during the 20th century ...

We also report exploratory data analyses, including a Bayesian network analysis of relationships between iWCST measures. Discussion: Overall, this study serves as a paradigmatic model for combining ...