Longitudinal Data Analysis Using Discrete and Continuous Responses
LONG : LONG42
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 SAS course instead.
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
- Create individual and group profile plots and sample variograms.
- Use the MIXED procedure 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 generalized linear mixed model in the GLIMMIX procedure.
- Fit an ordinal generalized linear mixed model and a model with spline effects in PROC GLIMMIX.
- Fit a binary GEE model in the GENMOD procedure.
Who Should Attend
Epidemiologists, social scientists, physical scientists, and business analysts
Prerequisites
Before attending this course, you should be able to:
- Execute SAS programs and create SAS data sets.
- Fit models using the GLM and REG procedures in SAS/STAT software.
SAS Products Covered
SAS/STAT
Course Outline
Longitudinal Data Analysis Concepts
- Understanding the merits and analytical problems associated with longitudinal data analysis.
- 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 diagnostic plots in PROC MIXED using ODS Graphics.
- Fitting a binary generalized linear mixed model in PROC GLIMMIX.
- Fitting an ordinal generalized linear mixed model in PROC GLIMMIX.
- Fitting a generalized linear mixed model with splines in PROC GLIMMIX.
- Fitting a binary GEE model in PROC GENMOD.
Live Class Schedule
Duration: 21 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.
This course isn't publicly scheduled, but private training and mentoring may be available. Contact us to explore options.
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.