A Short Course for UCI Faculty, Staff, & Students
INTRODUCTION TO LINEAR AND LOGISTIC REGRESSION MODELS FOR MEDICAL RESEARCHERS
Thursday, March 27, 2017 and Friday, March 28, 2013
The UCI Institute for Clinical & Translational Science (ICTS) is offering this two-day course on Thursday, March 27 & Friday, March 28. The course will meet from 4:00 p.m. to 6:00 p.m. at 2011 Donald Bren Hall.
Course Description: This is an introductory course to regression analysis. More specifically, we will discuss linear regression models for continuous outcome variables (e.g., blood pressure) and logistic regression models for binary outcome variables (e.g., cancer vs. non-cancer).
Objectives: By the end of this course, participants will have learned more about:
1- The uses and limitations of regression models
2- Fitting linear regression and logistic regression models to data and interpreting the results
3- Performing model assessment and diagnosis
4- Using regression models for statistical inference
1- Simple linear regression models
2- Multiple linear regression models
3- Generalized linear models
4- Logistic regression models
5- Model assessment and diagnosis
Prerequisites: Introductory level statistics; basic computer skills
Textbook: Biostatistics with R, An Introduction to Statistics Through Biological Data, Babak
Shahbaba, Springer, 2012. We will provide supplementary lecture notes.
Instructor: Babak Shahbaba, Ph.D., Assistant Professor, UC Irvine Department of Statistics
Registration Fee: The registration fee for UCI faculty, clinicians, and staff is $100.00; for UCI students it is $50.00. If space is available, non-UCI parties may register for a fee of $150.00.
To Register: Click on the following link to register for this course: https://www1.icts.uci.edu/ccgateway/bio_mar27.cfm
If you have any questions about registration, please contact Sarah Cushing at 714-456-2313 or firstname.lastname@example.org. Additional and more detailed course information will be sent with your registration confirmation notice.
Registration Deadline: March 15, 2014 or when the course reaches capacity, whichever comes first!