BIOST 311: Regression Methods in the Health Sciences
Quarter: Spring 2017
Time and Location: MWF 1:30-2:20pm, Health Sciences RR134 (lecture), T 12:30-1:20pm, Health Sciences T473 (discussion)
Grading: Graded, 4 credits
Instructor: Anna Plantinga, Department of Biostatistics (firstname.lastname@example.org)
Prerequisite: Open to all majors. No prior programming experience is required, but students should have a background in statistics at the level covered in BIOST 310. Students without BIOST 310 may contact the instructor for permission.
BIOST 311 introduces regression methods for analysis of continuous, binary, and time-to-event (survival) data.
This course will cover linear regression, logistic regression, and proportional hazards regression, all at an introductory level. Students will learn how to use R, a freely available statistical computing software, to display and analyze data. Throughout the course, we will make use of examples drawn from the biomedical and health sciences literature.