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STAT 504: Analysis of Discrete Data

Offered By: Pennsylvania State University via OPEN.ED@PSU

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Statistics & Probability Courses Sass Courses Statistical Analysis Courses Data Interpretation Courses Generalized Linear Models Courses

Course Description

Overview

Course Objectives

  • To develop a critical approach to the analysis of contingency tables
  • To examine the basic ideas and methods of generalized linear models
  • To link logit and log-linear methods with generalized linear models
  • To develop basic facility in the analysis of discrete data using SAS/R

Syllabus

In this course, we'll learn basic principles and statistical methods relevant for the analysis of discrete and categorical responses. Typical examples include whether or not a "success" occurs, extent of agreement, and a count of some occurrence. Software, such as R and SAS, will be used for most of the computation, but the emphasis will be on understanding the concepts underlying those procedures and on interpreting the results.


Taught by

Dr. Aleksandra Slavkovic

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