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Want this course at another location or on a different date? Let us know your course needs.On-site Pricing
Course fee and EPTO/APTO units differ for on-site training.Longitudinal Data Analysis with Discrete and Continuous Responses
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Please note the System Requirements below. Course fee: $2,175 EPTO units: 4.2 CEUs: 1.8 | ||
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This outline is provisional and subject to change.
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
- fit a binary and ordinal GEE model in PROC GENMOD
- compute GEE deletion diagnostic statistics using PROC GENMOD
- fit a generalized linear mixed model in PROC GLIMMIX.
Who should attend
Epidemiologists, social scientists, physical scientists, and business analysts
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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 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
- graphing individual and group profiles
- identifying cross-sectional and longitudinal patterns
- 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
- creating a sample variogram that illustrates the error components in your model
- plotting information criteria for models with selected covariance structures
- 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 model diagnostic statistics and plots in PROC MIXED
- examining the correlation structures available in PROC GENMOD
- fitting a binary GEE model in PROC GENMOD
- examining cumulative logit plots
- fitting an ordinal GEE model in PROC GENMOD
- generating diagnostic plots in PROC GENMOD
- computing GEE deletion diagnostic statistics in PROC GENMOD
- fitting a longitudinal model with a discrete response using the GLIMMIX procedure
Software
This course addresses SAS/STAT, SAS/GRAPH.
Course Materials
Classroom: Students attend classroom courses in one of our public training centers. You receive
a hardcopy of the course notes and, in some courses, can choose to take home a copy of the course data.
Live Web: Students attend Live Web classes using a Web browser and a telephone and interact with their instructor and fellow classmates in real time. Each student receives an e-mail with instructions on how to join the class three business days before the class begins. The instructions e-mail includes a link to download the course materials. Students need to download and print the course materials prior to class.
Live Web: Students attend Live Web classes using a Web browser and a telephone and interact with their instructor and fellow classmates in real time. Each student receives an e-mail with instructions on how to join the class three business days before the class begins. The instructions e-mail includes a link to download the course materials. Students need to download and print the course materials prior to class.
System Requirements
For Live Web, you must
- review and follow the general system requirements.
- complete the course exercises through our virtual lab. The virtual lab allows you to access the software used in class over the Internet, so that you do not need this software on your local machine.
- run this test to connect to a virtual lab session. If
firewall problems prevent you from connecting to the virtual lab, then you will need the following software installed and
configured in your environment to participate in the course exercises:
- Base SAS 9.2 or 9.1.3 on a Windows operating system or
SAS Learning Edition.
Important: Students using SAS Learning Edition will need to create a shortcut to the SAS windowing environment (SAS Explorer, Enhanced Editor, Log, and Output windows) for use during the class. Follow these instructions for creating a shortcut to SAS prior to class.
- Base SAS 9.2 or 9.1.3 on a Windows operating system or
SAS Learning Edition.
Share Your Thoughts
Not sure if this course suits your needs or which delivery method is right for you?
Give us a call at 800-333-7660 or send us e-mail.
If you have suggestions for this course or would like for it to be offered at another
training facility, let us know by adding to our Interest List.
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