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Regression modeling with R Part 1 Online
Overview
This is a 2-part hands-on workshop that covers common regression modeling techniques using the R programming language. It is not an introductory R programming workshop. See prerequisities below. Part 2 requires separate registration.
Objectives
In this workshop you will will learn how to run and visualize results from simple and multivariable regression models for:
- continuous outcomes
- binary outcomes
- survival outcomes (Part 2 on March 31 - register here!)
Prerequisites
Intermediate R programming skills, such as how to install packages, load data into R, perform summary statistics, and to create basic plots (ideally with ggplot2). Please also have the software installed prior to the workshop (see below).
Software
- Install R
- Install RStudio (free desktop version)
Materials
Workshop materials will be available online by the time of the workshop.
Instructor
Karla Lindquist, PhD, is the Scientific Lead for the UCSF Library's Data Science Initiative.
Zoom information
An email reminder will be sent 2 hours in advance of the workshop with the Zoom link. School of Medicine's Zoom Guide for Participants.
- Date:
- Thursday, Mar 24 2022
- Time:
- 3:00pm - 5:00pm
- Time Zone:
- Pacific Time - US & Canada (change)
- Online:
- This is an online event. Event URL will be sent via registration email.
- Categories:
- Data Science > Bioinformatics and Statistics Data Science > Programming Data Science
