Further Topics in Multivariate Analysis Using R (FTMA-3)

This module is an extension of the three previous modules in the Basic Statistics stream, and introduces more complex and nuanced aspects of the theory and practice of mutivariate analysis. Students will learn the theory behind the methods covered, how to implement them in practice, how to interpret their results, and how to write intelligently about their findings.

The module is divided between pre-recorded mini-lectures, in which you’ll learn the relevant theory, and in-person, hands-on practical sessions, in which you will learn how to apply these techniques to analyse real data using the statistical packages, R and R-Studio.

Topics covered include:

• Interaction effects in regression models: how to estimate these and how to interpret them
• Marginal effects from interacted models
• Ordered and categorical discrete dependent variable models (ordered and multinomial logit and probit)

To get the most out of the course, you should also expect to spend some time between sessions building your own statistical models.

• Postgraduate students and staff
• Further details regarding eligibility criteria are available here

You should have a reasonable knowledge of the basic statistical material covered in FiAS, BQA and DMA – in other words, you should have a good working knowledge of basic multivariate regression techniques. You will also need a good working knowledge of R and R-Studio. If you have not used R before, please enrol in CaRM’s ‘Introduction to R’ module.

Note: This module is taught assuming a working knowledge of R and R-Studio, please only sign-up for it if you meet the pre-requisites listed above as basic R skills WILL NOT be covered on this module.

The module uses the statistical package R and the interface R-Studio; these are free to download. Instructions will be provided.

An end-of-module assessment (open-book online test). Weekly online quizzes are available to help you prepare.

There is no set text for this module; although recommended readings and all necessary information will be available on the module’s Moodle page.

Please complete the Basic Statistics Stream booking request form on the CaRM website

Please note that Basic Statistics Stream modules are repeated throughout the year and that multiple iterations are available in the Michaelmas and Lent terms.

The modules will be taught in either Stata or R. If you have a preference please indicate this in your booking request and we will try to accommodate this when making your booking. We require students to stick with the same statistical software as they progress through the Basic Statistics Stream modules so please ensure any future bookings you make align with the software you have started the sequence on.

Moodle is the 'Virtual Learning Environment' (VLE) that CaRM uses to deliver online courses.

CaRM instructors use Moodle to make teaching resources available before, during, and/or after classes, and to make announcements and answer questions.

For this reason, it is vital that all students enrol onto and explore their course Moodle pages once booking their CaRM modules via the UTBS, and that they do so before their module begins. Moodle pages for modules should go live around a week before the module commences, but some may be made visible to students, earlier.

For more information, and links to specific Moodle module pages, please visit our website

2 x 2-hour pre-recorded lectures and 1 x 4-hour afternoon lab session.