MAT 4378 Categorical Data Analysis

3 units
Mathematics
Faculty of Science
Analysis of multi-way contingency tables. Tests for proportions: dependent, independent, trend. Measures of risk and association. Study designs leading to categorical data. Logistic models with binary response. Log-linear models for multi-way tables. Additional topics: polytomous and ordinal logistic regression. Analysis with statistical software packages.

Components:

Lecture

Requirements:

Prerequisite: MAT 3375 .

Previously Offered Terms:

Fall

French Equivalent:

All Professors
B+ Average (7.062)
Most Common: A+ (25%)
226 students

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S

NS

F

D

C

B

A-

A+

Kelly Burkett

Fall 2023 - A00

C+ Average (5.030)
Most Common: D (17%)
66 students

P

S

NS

F

D

C

B

A-

A+

Gilles Lamothe

3 sections from Fall 2018 to Fall 2022

A- Average (7.900)
Most Common: A+ (33%)
160 students

P

S

NS

F

D

C

B

A-

A+