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Categorical Data Analysis Using Logistic Regression

This course focuses on analyzing categorical response data in scientific fields. The SAS/STAT procedures addressed are PROC FREQ, PROC LOGISTIC, PROC VARCLUS, and PROC GENMOD. The ODS Statistical...

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By Request
$2,700 USD GSA  $2,241.34
Course Code CDAL42
Available Formats Classroom

Overview

This course focuses on analyzing categorical response data in scientific fields. The SAS/STAT procedures addressed are PROC FREQ, PROC LOGISTIC, PROC VARCLUS, and PROC GENMOD. The ODS Statistical Graphics procedures used are PROC SGPLOT and PROC SGPANEL. The course is not designed for predictive modelers in business fields, although predictive modelers can benefit from the content of this course.

Skills Gained

  • use the FREQ procedure for preliminary analyses
  • 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 empirical logit plots
  • eliminate redundancy in model effects using PROC VARCLUS
  • use automatic model building options in PROC LOGISTIC
  • assess models for fit and influential observations using PROC LOGISTIC
  • assess functional form of the model effects using PROC GENMOD
  • create ROC curves for measuring sensitivity and specificity
  • perform exact and conditional logistic regression with PROC LOGISTIC
  • analyze repeated and clustered data using Generalized Estimating Equations (GEE's) in the GENMOD procedure.

Who Can Benefit

  • Biostatisticians, epidemiologists, social scientists, and physical scientists who analyze categorical response data and predictive modelers who would like to learn more about the statistical background of logistic regression

Prerequisites

  • Before attending this course, you should
  • have a working knowledge of statistical modeling, including concepts of regression, analysis of variance, and contingency table analysis, which you can obtain in the Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression course
  • have an understanding of basic syntax in SAS procedures and DATA steps
  • have experience in executing SAS programs and creating SAS data sets, which you can gain by completing the SAS® Programming 1: Essentials course
  • have experience analyzing frequency tables using SAS software
  • have completed a course in statistics that covers linear regression and logistic regression, which you can achieve by completing the Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression course.

Course Details

Categorical Data and Contingency Table Analysis

  • introduction to categorical data
  • associations among categorical variables
  • stratified contingency table analysis

Binary Logistic Regression

  • introduction to logistic regression
  • adding categorical predictors and the CLASS statement

Model Building

  • empirical logit plots
  • variable clustering for variable reduction
  • confounding and interactions
  • automatic model selection
  • customized tests

Model Illustration and Assessment

  • interaction illustration
  • model assessment
  • ROC curves
  • outlier detection

Multinomial Logistic Regression

  • nominal logistic regression
  • ordinal logistic regression

Advanced Topics

  • correlated observations
  • GEE regression models
  • conditional logistic regression
  • failure to converge and small samples
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Schedule

Upcoming Course Dates

There are currently no scheduled dates for this course. If you are interested in this course, contact us with the form below.

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FAQ

Does the course schedule include a Lunchbreak?

Classes typically include a 1-hour lunch break around midday. However, the exact break times and duration can vary depending on the specific class. Your instructor will provide detailed information at the start of the course.

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Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

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GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

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Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.

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As a vendor-authorized training partner, we offer a curriculum that our partners have vetted. We use the same course materials and facilitate the same labs as our vendor-delivered training. These courses are considered the gold standard and, as such, are priced accordingly.

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It depends on your requirements, your role in your company, and your depth of knowledge. The good news about many of our learning paths, you can start from the fundamentals to highly specialized training.

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We continuously work with our vendors to evaluate and refresh course material to reflect the latest training courses and best practices.

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Ascendient Learning instructors have an average of 27 years of practical IT experience and have also served as consultants for an average of 15 years. To stay current, instructors spend at least 25 percent of their time learning new, emerging technologies and courses.

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Lab access is dependent on the vendor and the type of training you sign up for. However, many of our top vendors will provide lab access to students to test and practice. The course description will specify lab access.

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Reviews

Simply great training provider that I can go for updating/acquiring my skill sets.

vary good online learning. instructor is vary good the way he explained every thing.

The tool provided to practice the course teachings is very functional and easy to use.

great class and packed with material, would have lived to spread it more into many days but overall very informative.

I liked the pace of the course. I like that I have more than instance to use the lab.