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Short Course for UCI Faculty, Staff, & Students


Monday, May 6, 2013 and Tuesday, May 7, 2013

The UCI Institute for Clinical & Translational Science (ICTS) is offering this two-day course on Monday, May 6, and Tuesday May 7. The course will meet from 1:00 p.m. to 4:00 p.m. in Room CS 432 of the Computer Science Building (302).

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

Introductory level statistics; basic computer skills

 Biostatistics with R, An Introduction to Statistics Through Biological Data, Babak Shahbaba, Springer, 2012; available for download (free-of-charge) through the UCI library. We will also provide supplementary notes for logistic regression models.


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 obtain a registration request form for this course: http://www1.icts.uci.edu/newsevents/registrationInfoRequest130403.pdf

If you have any questions about registration, please contact Erika Whitton at (714) 456-2313 or ewhitton@uci.edu. Additional and more detailed course information will be sent with your registration confirmation notice. Registration Deadline: April 19, 2013 or when the course reaches capacity, whichever comes first!