Online
20-23 September 2021
10:00 - 13:00
Instructors: Ezra Herman
Helpers: Emma Rand, Alan O'Callaghan, Ailith Ewing
Introduction to Statistics with R This is a two-day, in-person workshop on the topic of statistics in R for public health. This workshop uses a public health dataset and examples (NHANES from the US National Center for Health Statistics) but the materials are relevant to researchers more generally in the life, health and social sciences.
The workshop assumes no prior experience of statistical analysis in R. However, learners are expected to have some familiarity with R such as having done an introductory course. If you do not have any experience currently, one of these Carpentries courses would prepare you:
Ed-DaSH
Ed-DaSH is a Data Science training programme for Health and Biosciences. The team has developed workshops using The Carpentries platform on the following topics. See workshops for dates and registration details. All workshops will be delivered remotely.
Where: This training will take place online. The instructors will provide you with the information you will need to connect to this meeting.
When: 20-23 September 2021. Add to your Google Calendar.
Requirements: Participants must have access to a computer with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).
Accessibility: We are dedicated to providing a positive and accessible learning environment for all. Please notify the instructors in advance of the workshop if you require any accommodations or if there is anything we can do to make this workshop more accessible to you.
Contact: Please email g.peru@epcc.ed.ac.uk or emma.rand@york.ac.uk for more information.
Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.
Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
The lesson taught in this workshop is being piloted and a precise schedule is yet to be established.
Pre-workshop Setup | |
Lessons | |
Statistical thinking for public health | Estimating the mean, variance and standard deviation |
Estimating the variation around the mean | |
Visualising and quantifying linear associations | |
Predicting means using linear associations | |
Break | |
Morning | 11:30 - 11:45 |
Lessons | |
Simple linear regression for public health | An introduction to linear regression |
Linear regression with one continuous explanatory variable | |
Linear regression with a two-level factor explanatory variable | |
Making predictions from a simple linear regression model | |
Break | |
Morning | 11:30 - 11:45 |
Lessons | |
Simple linear regression for public health | Assessing simple linear regression model fit and assumptions |
Linear regression with a multi-level factor explanatory variable | |
Break | |
Morning | 11:30 - 11:45 |
Lessons | |
Multiple linear regression for public health | Linear regression with one continuous and one categorical explanatory variable |
Linear regression including an interaction between one continuous and one categorical explanatory variable | |
Break | |
Morning | 11:30 - 11:45 |
To participate in a workshop, you will need access to software as described below. In addition, you will need an up-to-date web browser.
We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.
If you haven't used Zoom before, go to the official website to download and install the Zoom client for your computer.
Like other Carpentries workshops, you will be learning by "coding along" with the Instructors. To do this, you will need to have both the window for the tool you will be learning about (a terminal, RStudio, your web browser, etc..) and the window for the Zoom video conference client open. In order to see both at once, we recommend using one of the following set up options:
Please check the “Setup” page of the lesson site for instructions to follow to obtain the software and data you will need to follow the lesson.