Introduction to Bayesian Analysis Using Stata

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Learn to use Stata to perform basic Bayesian analysis. Bayesian analysis is a statistical paradigm that answers research questions about unknown parameters using probability statements. For example, what is the probability that a person accused of a crime is guilty? What is the probability that treatment A is more cost effective than treatment B for a specific healthcare provider? What is the probability that the odds ratio is between 0.3 and 0.5? And many more. Such probabilistic statements are natural to Bayesian analysis because of the underlying assumption that all parameters are random quantities. In Bayesian analysis, a parameter is summarized by an entire distribution of values instead of one fixed value as in classical frequentist analysis. Estimating this distribution, a posterior distribution of a parameter of interest, is at the heart of Bayesian analysis.
This course will provide an introduction to Bayesian analysis, demonstrate its use in several applications, and introduce Stata's suite of commands for conducting Bayesian analysis.
Periode26. apr. 202229. apr. 2022
Grad af anerkendelseInternational