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Regression Modeling with R

Materials for Regression Modeling With R Workshop. http://tiny.ucsf.edu/dsiregr

Workshop Overview

This is a 2-part hands-on workshop that covers how to build common regression models using the R programming language, and how to visualize the results. It is not an introductory R programming workshop. See prerequisities below.

Learning Objectives

In Part 1 of this workshop, participants will:

Learn how to build regression models for:
    continuous outcomes
    binary outcomes
Learn how to visually check assumptions and summarize regression results

In Part 2 of this workshop, participants will:

Learn how to build regression models for:
    survival outcomes
Learn how to visually check assumptions and summarize regression results

Prerequisites

Intermediate R programming skills, such as how to install packages, load data into R, perform summary statistics, and basic plots (ideally with ggplot2). Please also have the software installed prior to the workshop (see below).

Software

This course uses R and RStudio. Please have these installed on your laptop prior to the workshop.

Install R
Install RStudio

Instructor

Karla Lindquist, PhD is the Scientific Lead for the Data Science Initiative in the UCSF Library.

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Materials for Regression Modeling With R Workshop. http://tiny.ucsf.edu/dsiregr

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