Methods of data analysis useful in applied research, including repeated measures and longitudinal data analysis, non-linear regression, survival analysis, multivariate techniques. Applications to real data will be emphasized, including case studies and real data applications. Each researcher works on a project to present, highlighting the methods used in the project. Prerequisite: STAT 252 or 337 or consent of the instructor.
| Section | Capacity | Class times | Login to view Instructor(s) and Location |
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LECTURE A1
(50267) |
60 |
2024-09-03 - 2024-12-09 (MWF)
09:00 - 09:50
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