Health Analytics Graduate Courses, Northwestern University School of Professional Studies - Northwestern School of Professional Studies

Course Schedule

Please note that course schedules may be amended due to low enrollment, faculty availability, and/or other factors.

Online Sync Sessions are an integral part of the online learning experience. Additional information about learning concepts and assignments may be discussed and sync sessions offer valuable opportunities for students to interact with their faculty and peers during the term. We encourage all students to attend live, but if they are unable to, sync sessions will be recorded and posted within Canvas to allow for an asynchronous model of success as well.

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