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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

Topics:

   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 scushing@uci.edu.  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!