Longitudinal Data Analysis with Discrete and Continuous Responses Training Course and Workshop in Bangalore, Mysore, Chennai, Hyderabad, Pune, Mumbai, Delhi, Noida, Gurgaon, Kolkata

The Longitudinal Data Analysis with Discrete and Continuous Responses training course is for scientists and analysts who want to analyze observational data collected over time.

By attending Longitudinal Data Analysis with Discrete and Continuous Responses workshop, delegates will learn 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 generalized linear mixed model in PROC GLIMMIX
Fit an ordinal generalized linear mixed model and a model with spline effects in PROC GLIMMIX
Fit a binary GEE model in PROC GENMOD

Execute SAS programs and create SAS data sets.
Fit models using the GLM and REG procedures in SAS/STAT software

This Longitudinal Data Analysis with Discrete and Continuous Responses class is ideaal for Epidemiologists, social scientists, physical scientists, and business analysts.

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

Fit a binary GEE model in PROC GENMOD

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Longitudinal Data Analysis with Discrete and Continuous Responses

COURSE AGENDA