Categorical Data Analysis Using Logistic Regression

Duration: 3.0 days
Course fee:
EPTO units: .
CEUs: 1.8

Available for on-site training or can be scheduled at any SAS training facility if demand warrants.

This course focuses on analyzing categorical response data in scientific fields. The SAS procedures addressed are PROC FREQ, PROC LOGISTIC, and PROC GENMOD. The course is not designed for predictive modelers in business fields.

Learn how to

recognize when logistic regression is appropriate
write code in the LOGISTIC procedure for binary, ordinal, and nominal logistic regression
create effect plots and odds ratio plots using ODS Statistical Graphics
create logit plots and use the FREQ procedure for preliminary analyses
use automatic model building options in PROC LOGISTIC
assess models for fit and influential observations using PROC LOGISTIC
create ROC curves for measuring sensitivity and specificity
perform exact and conditional logistic regression with PROC LOGISTIC
analyze repeated and clustered data using GEE's in the GENMOD procedure.

Who should attend

Biostatisticians, epidemiologists, social scientists, and physical scientists who analyze categorical response data

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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.
have experience analyzing frequency tables using SAS software.
have completed a course in statistics that covers linear regression and logistic regression. You can gain this experience by completing the Statistics I: Introduction to ANOVA, Regression, and Logistic Regression course.

Course Contents

Contingency Table Analysis

using measures and tests of association
performing stratified data analysis

Binary Logistic Regression

fitting the model
creating effect plots and odds ratio plots
using model selection strategies
assessing the fit of the model

Advanced Regression Topics

fitting GEE models
fitting ordinal logistic regression models
fitting nominal logistic regression models
fitting exact logistic regression models
fitting conditional logistic regression models

Software

This course addresses SAS/STAT, SAS/GRAPH.

Course Materials

Students receive a hardcopy of the course notes and, in some courses, can choose to take home a copy of the course data.

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Course fee and EPTO units will differ for on-site training.

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