About this course

Course code TPSTBA31
Duration 2 Days

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.

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 I: Introduction to ANOVA, Regression, and Logistic Regression or the Statistics II: ANOVA and Regression courses.
  • This course addresses SAS/STAT software
  • This course is offered on the Windows platform only using SAS/STAT 13.1

Who should attend

  • Biostatisticians, epidemiologists, and social scientists who are interested in the Bayesian analysis approach

Delegates will learn how to

  • explain the concepts of Bayesian analysis
  • illustrate Bayesian analyses in PROC PHREG and PROC GENMOD
  • incorporate prior distributions in a Bayesian analysis
  • illustrate a Bayesian analysis approach in a clinical trials setting using PROC MCMC.

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 PHREG and PROC GENMOD

Fitting Models with the MCMC Procedure

  • 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

Bayesian Approaches to Clinical Trials

  • use prior distributions in a Bayesian analysis
  • illustrate a Bayesian approach to clinical trials using PROC MCMC
  • illustrate the Bayesian approach to meta-analysis

2 Days

Duration

This is a QA approved partner course

Delivery Method

Delivery method

Classroom

Face-to-face learning in the comfort of our quality nationwide centres, with free refreshments and Wi-Fi.

Find dates and prices

Online booking is currently not available for this course, to find out more please call us on 0345 074 7998 or email us at info@qa.com to discuss how we can help.

Trusted, awarded and accredited

Fully accredited to ensure we provide the highest possible standards in learning

All third party trademark rights acknowledged.