BIOE 865 - Linear Regression Methods for the Health Sciences

Cr Hrs: 2 (32-0-0)
GR

In this course, students will learn how multiple linear regression models are derived, use software to implement them, learn what assumptions underlie the models, learn how to test whether data meet those assumptions and what can be done when those assumptions are not met, and develop strategies for building and understanding useful models.

Grade Mode: P/NP

Mode of Delivery (Online or Hybrid): Hybrid
Instructional Method: Lecture

Prerequisites: BIOE 811 - Biostatistics for the Health Sciences I and BIOE 821 - Biostatistics for the Health Sciences II or equivalent
Term offered: Fall

Fall - Instructor of Record: Elizabeth Tolley