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Module CATEGORICAL DATA ANALYSIS

Module code: MT466S
Credits: 5
Semester: 2
Department: MATHEMATICS AND STATISTICS
International: Yes
Overview Overview
 

Module Objective:
To introduce the students to categorical data analysis.

Comparison of proportions and odds. Two-way contingency tables: Chi-squared test, Fisher's exact test. Three-way contingency tables: partial association, Cochran-Mantel-Haenszel methods. Generalized linear models, exponential families. Logistic regression for binary responses and Binomial counts. Loglinear models for Poisson counts, two and three-way tables.

Open Learning Outcomes
 
Open Teaching & Learning methods
 
Open Assessment
 
Open Autumn Supplementals/Resits
 
Open Pre-Requisites
 
Open Timetable
 
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