Course Schedule
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MSHA 411-DL : Advanced Data Modeling for Health Analytics
Description
This course extends the health analytics conception of predictive modeling with ordinary least-squares regression to the situations of repeated measures, dichotomous responses, and survival times/outcomes. Learners will survey essential topics such as longitudinal data analysis, logistic regression, and survival analyses. Students will explore issues of data preparation, model fit and interpretation, model development strategies, and validation. Students will also model real world healthcare data containing missing values and outliers.
Prerequisite: MSHA 409 Statistical Analysis and MSHA 410 Regression and Multivariate Analysis
| Spring 2025 | ||||
| Start/End Dates | Day(s) | Time | Building | Section |
| 03/31/25 - 06/13/25 | Sync Session Tu | 7 – 9:30 p.m. | 55 | |
| Instructor | Course Location | Status | CAESAR Course ID | |
| Mickelson, William | Online | Open | ||