MTH 431 - Categorical Data Analysis

Institution:

Cleveland State University

Subject:

Description:

Prerequisite: MTH 347 with a grade of “C” or better or permission of instructor. The course covers techniques of modeling data for data that are categorical rather than continuous in nature. Topics include joint, marginal, and conditional probabilities, relative risk, odds ratios, generalized linear models, logistic regression, multi-category logit models, and loglinear models. The course utilizes data examples from the fields of biology, medicine, health, epidemiology, environmental science, and psychology; it uses a statistical programming language and counts toward the statistics minor; it does not count toward the minor, B.A. or B.S. in Mathematics.

Credits:

4.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.csuohio.edu/

Phone Number:

(216) 687-2000

Regional Accreditation:

North Central Association of Colleges and Schools

Calendar System:

Semester

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