BST 466 - Categorical Data Analysis

Institution:

University of Rochester

Subject:

Description:

Chi-square tests for independence; mutual, partial, and conditional independence; Cochran-Mantel-Haenszel methods; loglinear models for analysis of two-way and three-way contingency tables; logistic regression; Poisson regression; models for nominal and ordinal categorical responses; analysis of matched-pair categorical data; ¿exact¿ methods for inference; interactions; goodness-of-fit; model checking; introduction to survival analysis, including Kaplan-Meier curves and the Cox proportional hazards regression model.

Credits:

4.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.rochester.edu

Phone Number:

(888) 822-2256

Regional Accreditation:

Middle States Association of Colleges and Schools

Calendar System:

Semester

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