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Course fee and EPTO/APTO units differ for on-site training.Advanced Statistical Modeling Using the NLMIXED Procedure (Live Web)
|
Duration: 3
half-day sessions Please note the System Requirements below. CEUs: 0.9 | ||
| Available for on-site training or can be scheduled at any SAS training facility if demand warrants. |
This course teaches you how to use the NLMIXED procedure to fit statistical models.
Learn how to
- use the NLMIXED procedure to fit a logistic regression model with random effects, some nonlinear models with random effects, and some mixture models such as zero-inflated Poisson models, hurdle models, and generalized Poisson models
- deal with the numerical challenges of using the NLMIXED procedure.
Who should attend
Statisticians, statistically experienced epidemiologists, social scientists, physical scientists, and business analysts
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Prerequisites
Before attending this course, you should
- understand categorical data analysis (for example, logistic regression). You can complete the Categorical Data Analysis Using Logistic Regression course or have equivalent experience with and knowledge of logistic regression
- understand linear mixed models (the MIXED procedure). You can complete the Mixed Models Analyses Using the SAS System course or have equivalent experience with and knowledge of linear mixed models
- have experience with SAS programming at the level covered in the SAS Programming I: Essentials course.
Course Contents
Overview of GLMM, NLMM, and the NLMIXED Procedure
- introduction to general linear mixed models and nonlinear mixed models
- introduction to the NLMIXED procedure
- fitting a nonlinear mixed model
- fitting zero-inflated Poisson models
- fitting other mixture models (self-study)
- techniques for making the NLMIXED procedure run faster
- achieving convergence with the NLMIXED procedure
- interpreting log notes and warnings
Software
This course addresses SAS/STAT.
Course Materials
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, SAS/STAT, and SAS/GRAPH software, Release 9 or 8.2 under a Windows operating system.
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Not currently scheduled. Available for Live Web delivery if demand warrants.
This page was created using SAS software.