Bayesian Analyses Using SAS
The course focuses on Bayesian analyses using the PHREG, GENMOD, and MCMC procedures. The examples include logistic regression, Cox proportional hazards model, general linear mixed model, zero-inflated Poisson model, and data containing missing values. A Bayesian analysis of a crossover design and a meta-analysis are also shown.
The self-study e-learning includes:
Who should attendBiostatisticians, epidemiologists, and social scientists who are interested in the Bayesian analysis approach
Before attending this course, you should:
This course addresses SAS/STAT software.
This course is offered on the Windows platform only using SAS/STAT 14.2.
Introduction to Bayesian Analysis
|Title||Duration||Access Period||Language||Fee||Add to Cart|
|Bayesian Analyses Using SAS (14.2) (PDF + virtual lab hours)||14.0 hours||180 days from order date||English||605 EUR|
|Dates||Location||Time||Language||Fee||Add to Cart|
|30-31 MAY 2023||Live Web||08:30 AM-04:30 PM BST||English||1,000 EUR|
|11-14 JUL 2023||Live Web||06:00 PM-09:30 PM BST||English||1,000 EUR|
|13-14 NOV 2023||Live Web||08:30 AM-04:30 PM GMT||English||1,000 EUR|
|05-08 DEC 2023||Live Web||06:00 PM-09:30 PM GMT||English||1,000 EUR|