Bayesian Analyses Using SAS®
STBAY : STBA42
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:
The self-study e-learning includes:
- Annotatable course notes in PDF format.
- Virtual lab time to practice.
Learn How To
- Explain the concepts of Bayesian analysis.
- Illustrate Bayesian analyses in PROC GENMOD, PROC PHREG, and PROC MCMC.
- Incorporate prior distributions in a Bayesian analysis.
- Illustrate a Bayesian analysis approach to a meta-analysis.
Who Should Attend
Biostatisticians, epidemiologists, and social scientists who are interested in the Bayesian analysis approach
Prerequisites
Before attending this course, you should:
- Be able to create SAS data sets and manipulate data. You can gain this experience from the SAS Programming 2: Data Manipulation Techniques course.
- Have completed a statistics course such as the Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression or Statistics 2: ANOVA and Regression course.
SAS Products Covered
SAS/STAT
Course Outline
Introduction to Bayesian Analysis
- Introduce the basic concepts of Bayesian analysis.
- Compute the diagnostic plots and diagnostic statistics for model assessment.
- Discuss the advantages and disadvantages of Bayesian analysis.
- Illustrate a Bayesian analysis in PROC GENMOD and PROC PHREG.
- Show the essential statements in PROC MCMC.
- Show the supported distributions in PROC MCMC.
- Fit a logistic regression model in PROC MCMC.
- Fit a general linear mixed model in PROC MCMC.
- Fit a zero-inflated Poisson model in PROC MCMC.
- Incorporate missing values in PROC MCMC.
- Use prior distributions in a Bayesian analysis.
- Illustrate a Bayesian approach to clinical trials using PROC MCMC.
- Illustrate the Bayesian approach to meta-analysis.
Live Class Schedule
Duration: 14 hours
Step into our live classes and experience a dynamic learning environment where you can ask questions, share ideas, and connect with your instructor and classmates. With on-demand lab hours, you can explore the material at your own pace. Our globally acclaimed instructors will motivate you to think bigger, so you can take what you've learned and achieve your biggest goals.
Live Class Schedule
SOLD SEPARATELY
Private Training
Get training tailored specifically for your team, led by expert SAS instructors. Choose from virtual sessions, or training at your location (or ours). Perfect for teams seeking a customized curriculum and plenty of interaction with a SAS specialist. We'll schedule it at a time that works for you.
Mentoring Services
Take your training to the next level with personalized mentoring. While private training offers structured coursework, mentoring provides hands-on, real-time support from a subject matter expert. As you work with your own data, you'll receive expert guidance to help you uncover insights, unlock the full potential of your data, and make faster progress. Perfect for those looking to apply what they’ve learned and see quicker results.