EPIB652

Categorical Data Analysis

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Prerequisite: EPIB651. Recommended: EPIB697 or previous experience working with SAS is highly recommended. Methods for analysis of categorical data as applied to public health research, including contingency tables, logistic regression, multicategory logic models, loglinear models, and models for matched-pairs.

Fall 2025

Tianzhou Ma

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Jeremy Rubin

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Past Semesters

Tianzhou Ma

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Tianzhou Ma

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Tianzhou Ma

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Tianzhou Ma

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Jing Zhang

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Shuo Chen

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Tongtong Wu

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During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.75 between 179 students*

EPIB652 Grade Distribution+-0510152025303540455055606570758085% of studentsABCDFWother
A-: 23.46%
A: 40.22%
A+: 18.44%
B-: 1.68%
B: 3.91%
B+: 8.38%
C: 0.56%
C+: 1.12%
W: 0.56%
other: 1.68%
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.