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    Cleveland State University
  Nov 19, 2017
Graduate Catalog 2014 - 2015 [ARCHIVED CATALOG]

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MTH 531 - Categorical Data Analysis

(4 credits)
Prerequisite: MTH 567 or permission of instructor. The course will cover techniques of modeling data for data that are categorical rather than continuous in nature. Topics to be covered include joint, marginal, and conditional probabilities, relative risk, odds ratios, generalized linear models, logistic regression, multi-category logit models, and loglinear models. The course will utilize data examples from the fields of biology, medicine, health, epidemiology, environmental science, and psychology. The course will use a statistical programming language. The course will also require the completion of a categorical data analysis project. Credit cannot be earned for this course if a student has already taken MTH 431.

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