Introduction to Bayesian Statistics Using Stata

Chuck Huber

Presented by: Chuck Huber
Date: November 17, 2021

Bayesian analysis has become a popular tool for many statistical applications. Yet many data analysts have little training in the theory of Bayesian analysis and software used to fit Bayesian models. This talk will provide an intuitive introduction to the concepts of Bayesian analysis and demonstrate how to fit Bayesian models using Stata. No prior knowledge of Bayesian analysis is necessary and specific topics will include the relationship between likelihood functions, prior, and posterior distributions, Markov Chain Monte Carlo (MCMC) using the Metropolis-Hastings algorithm, and how to use Stata's Bayes prefix to fit Bayesian models.


Communicating Science During a Pandemic: Lessons for and from an Epidemiologist

Dr. Raywat Deonandan

Presented by: Dr. Raywat Deonandan
Date: Tuesday, May 24th, 2022 from 1pm to 3pm EST

Raywat Deonandan is an Epidemiologist and Associate Professor with the Faculty of Health Sciences at the University of Ottawa, as well as a Senior Fellow with Massey College at the University of Toronto. He is a former Chief Scientist with the Canadian federal government, and has received multiple awards for his writing, journalism, and public engagement. During the COVID-19 pandemic, he has been a ubiquitous voice in national and international media.

The recording of this webinar is now available to all CSEB members through the membership portal.