Longitudinal Data Analysis with Discrete and Continuous Responses

Duration: 3.0 days
Course fee: $2,040
EPTO units: 3
CEUs: 1.8

This course is for scientists and analysts who want to analyze observational data collected over time. It is not for SAS users who have collected data in a complicated experimental design; they should take the Mixed Models Analyses Using the SAS System course instead.

Learn how to

create individual and group profile plots and sample variograms
use PROC MIXED to fit a general linear mixed model and a random coefficient model
plot information criteria for models with selected covariance structures
generate diagnostic plots in PROC MIXED
fit a binary or ordinal GEE model in PROC GENMOD
compute GEE deletion diagnostic statistics in PROC GENMOD
fit a generalized linear mixed model in PROC GLIMMIX.

Who should attend

Epidemiologists, social scientists, physical scientists, and business analysts

Expand/Collapse All Expand All Collapse All Print version

Prerequisites

Before attending this course, you should be able to

execute SAS programs and create SAS data sets. You can gain this experience by completing the SAS Programming I: Essentials course.
fit models using the GLM and REG procedures in SAS/STAT software. You can gain this experience by completing the Statistics II: ANOVA and Regression course.

Course Contents

Longitudinal Data Analysis Concepts

understanding the merits and analytical problems associated with longitudinal data analysis
examining the differences between PROC GLM and PROC MIXED

Exploratory Data Analysis

graphing individual and group profiles
identifying cross-sectional and longitudinal patterns

General Linear Mixed Model

understanding the concepts behind the linear mixed model
examining the different covariance structures available in PROC MIXED
fitting a general linear mixed model in PROC MIXED

Evaluating Covariance Structures

creating a sample variogram that illustrates the error components in your model
plotting information criteria for models with selected covariance structures

Model Development, Interpretation, and Assessment

learning the model building strategies in PROC MIXED
creating interaction plots
specifying heterogeneity in the covariance structure
computing predictions using EBLUPs
fitting a random coefficient model in PROC MIXED
generating diagnostic plots in PROC MIXED using ODS Graphics

Longitudinal Models with Binary Responses

examining the correlation structures available in PROC GENMOD
fitting a binary GEE model in PROC GENMOD

Longitudinal Models with Ordinal Responses

examining cumulative logit plots
fitting an ordinal GEE model in PROC GENMOD

GEE Model Diagnostics

computing GEE deletion diagnostic statistics in PROC GENMOD

Generalized Linear Mixed Models

fitting a longitudinal model with a discrete response using the GLIMMIX procedure

Software

This course addresses SAS/STAT, SAS/GRAPH.

Course Materials

Students receive a hardcopy of the course notes and, in some courses, can choose to take home a copy of the course data.

Share Your Thoughts

Are there additional topics you'd like for this course to address? Would you like for this course to be offered at another training facility? Let us know by adding to our Interest List.

Course fee and EPTO units will differ for on-site training.

This page was created using SAS software.

-	Public
-	On-site training
-	One-to-one Mentoring
-	Courses by Industry Experts
-	Targeted Learning
-	ABM Training
-	TPS Service
-	Find a Course
-	Register now
-	Course list
-	Curriculum paths
-	Locations
-	Special Offers