Nature

Bayesian Quantile Regression and Statistical Modelling

Bayesian quantile regression and statistical modelling represent a growing paradigm in contemporary data analysis, extending conventional regression by estimating various conditional quantiles rather ...

BioStem Technologies Highlights Alignment with FDA’s Openness to Bayesian Statistical Approaches in Clinical Research

BioStem Technologies, Inc. (OTC: BSEM), a leading MedTech company focused on the development, manufacturing, and commercialization of perinatal tissue derived products for advanced wound care, today ...
JSTOR Daily

Bayesian Semiparametric Median Regression Modeling

Median regression models become an attractive alternative to mean regression models when employing flexible families of distributions for the errors. Classical approaches are typically algorithmic ...
JSTOR Daily

Multivariate Bayesian Logistic Regression for Analysis of Clinical Study Safety Issues

This paper describes a method for a model-based analysis of clinical safety data called multivariate Bayesian logistic regression (MBLR). Parallel logistic regression models are fit to a set of ...
lse

Bayesian Data Analysis

This course is available on the MPA in Data Science for Public Policy, MSc in Data Science, MSc in Health Data Science, MSc in Statistics, MSc in Statistics (Financial Statistics), MSc in Statistics ...

BioStem Technologies, Inc.: BioStem Technologies Highlights Alignment with FDA's Openness to Bayesian Statistical Approaches in Clinical Research

BioStem Technologies, Inc. (OTC: BSEM), a leading MedTech company focused on the development, manufacturing, and commercialization of perinatal ...