Longitudinal Data Analysis Using Discrete and Continuous Responses
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.
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This course is for scientists and analysts who want to analyze observational data collected over time.
Course structure
Longitudinal Data Analysis Concepts
- Understanding the merits and analytical problems associated with longitudinal data analysis.
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.
Generalized Linear Mixed Models
- Fitting a binary generalized linear mixed model in PROC GLIMMIX.
Applications Using PROC GLIMMIX
- Fitting an ordinal generalized linear mixed model in PROC GLIMMIX.
- Fitting a generalized linear mixed model with splines in PROC GLIMMIX.
GEE Regression Models
- Fitting a binary GEE model in PROC GENMOD.
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.
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Jsme vám k dispozici na telefonním čísle +420 222 553 101 vždy od pondělí do pátku: 9:00 - 17:00.
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