STAT 528
Spring 2023 All Classes
All Classes
Credit: 4 hours.
An advanced (graduate-level) introduction to generalized linear models and categorical data analysis with applications to analyzing data from disciplines such as biostatistics, economics, evolutionary biology, and medicine. The course will introduce classical techniques as well as modern methods. A strong emphasis will be placed on statistical properties of presented methods as well as data analysis practice and critical statistical thinking. Practical advantages, limitations, and comparisons of methods will be discussed.
4 graduate hours. No professional credit. Prerequisite: STAT 510 or STAT 511, STAT 527. Restricted to graduate students only.
Section Status updates every 10 minutes.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
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72335
|
Lecture-Discussion
|
A1
|
12:30PM
-1:50PM
|
TR
|
106B8 Engineering Hall
|
Eck, D
|
|