Fundamentals of Statistical Software and Analysis (FoSSA)
Research Research Skills
Monday, 06 February 2023 to Monday, 02 September 2024, 9am - 5pmApply for this course
This MSD Skills training course consists of online pre-recorded videos and self-directed practical exercises arranged into 7 modules covering a wide range of statistical methods. All course content can be approached using the statistical programmes of R, Stata, or SPSS. Once registered with the course, all students are able to access content for whichever modules and statistical software programmes suit their needs. Each module contains approximately 2-hours of pre-recorded lecture material (split into short videos), one hour of practical content, readings in an online textbook, multiple choice quizzes, and the option to sign up for a one-hour online tutorial working through the practical content.
Which course is for me?
MSD Skills runs several courses in statistics that have similar titles to this course. Here is a short description of this course vs other available courses to help you decide if you should sign up:
- FoSSA (this course): Online, at your own pace. Gives a brief overview of statistical theory and how to carry out a wide variety of statistical tests in R, Stata, or SPSS.
- Introduction to Statistics: In-person, runs over 4 days. Gives an in-depth understanding of fundamental statistical theory. Does not use any software. Students may want to take this course prior to signing up for FoSSA.
- Intro to R for Biologists: Online, runs over 2 days. Gives a more in-depth understanding to use the software R and make basic plots. Covers some basic statistical tests. You could take this course before or after taking FoSSA; FoSSA will show you how to run a wider variety of statistical tests in R.
- Data Analysis & Visualisation in R: Online, runs over 3 days. This is a more advanced course covering programming, data wrangling and visualisation in R. It does not cover statistical tests but shows how statistical information can be visualised in plots.
COURSE AIMS OF FOSSA
The course aims to provide an introduction to a wide range of statistical tests used in the medical sciences, as well as the statistical software code needed to run them. Early modules assume no prior knowledge of statistics, but more advanced modules require students to demonstrate basic knowledge acquired from earlier modules (detailed below). This course will use a variety of quantitative datasets from population health and veterinary science as it leads you from the basic theory through the execution and interpretation of the tests in the statistical software of your choice.
By the end of the module(s) you choose, you will be able to:
- Understand the underlying principles of statistics
- Identify which statistical tests are appropriate for different situations
- Calculate a range of statistical tests on different types of data
- Interpret the output of a wide range of statistical tests
- Perform a range of statistical tests on the software of your choice (Stata, R, or SPSS)
More detailed learning objectives for each module (and any necessary prerequisites) are listed in this PDF . Some modules require that you pass a short multiple-choice quiz before you are allowed to sign up for the online tutorial.
Each module in this course has the following structure:
- Approximately 2 hours of pre-recorded lecture videos, split into short videos of about 5-15 minutes at a time
- Approximately 1-2 hours of practical exercises; practical exercises are written in Stata, R, and SPSS
- An optional online tutorial of approximately one hour per module, which works through the practical exercises
- Recommended readings
- End of module multiple-choice quiz
There is no limit to participants registered for the core content, but spaces on the (optional) tutorials for each module are limited to 6 participants per tutorial.
HOW IT WILL WORK
When you apply for this course, you will receive a booking email confirmation with a link to the Canvas site for the following 7 modules. Within Canvas, you can sign up for online tutorials for as many modules as you like.
- Module A1: Introduction to statistics using R, Stata or SPSS
- Module A2: Power & sample size calculation
- Module B1: Linear regression
- Module B2: Multiple comparisons and repeated measures
- Module B3: Non-parametric measures
- Module C1: Binary data and logistic regression
- Module C2: Survival data
You can sign up for the course from Tuesday 6 February . Online material for all modules will be available from the moment you are registered, and access to the online content will not expire. Sign-up links for optional online tutorials (using the software R, Stata or SPSS) will open in mid-February, but spaces are limited and will be assigned on a ‘first come, first serve’ basis. Each module will run the same tutorial twice, so that students can choose a date/time that suits their schedule. Online tutorials (optional) are run by postgraduate research students that have experience using those statistical tests on the software programme you have chosen.
WHAT YOU WILL NEED
Acess to Canvas, MS Teams (for online tutorials), and your software of choice (R (version 4.0 or higher), Stata (version 15.0 or higher) or SPSS).
ATTENDANCE CERTIFICATE ON SURVEY COMPLETION
It is a requirement that you complete a short survey after passing the end of module quiz. Once you have submitted the survey, you will be sent an email with a link to your attendance certificate. This is to ensure we receive the feedback we need to evaluate and improve our courses. Survey results are downloaded and stored anonymously. You can receive a certificate for each module quiz you have passed (online tutorials are optional and not required for the certificate).
Where no cost is indicated in the shopping trolley, no deposit is required. However, two or more non-attendances or late cancellations without good reason for an online tutorial will be logged and may mean you cannot attend any further MSD training that term. Please refer to our Terms and Conditions for further information.