Homeless and Inclusion Health is a dynamic module delivered by UCL's Institute of Epidemiology and Health Care having been developed in partnership with the Faculty for Homeless and Inclusion Health (affiliated to Pathway). It offers an opportunity for those with an interest in excluded or hard-to-reach groups the chance to learn from world-class UCL researchers, experienced policy makers and service providers, and former/current members of these communities.

Delivered over seven weeks in Term 3, from 1^st May to 12^th June 2025, with in-person seminars on Thursday afternoons between 1-4pm (and online directed learning in the week preceding each in-person seminar), this unique module will appeal to medical/ healthcare, charity, governmental and voluntary sector professionals looking to expand their knowledge of this important area. As a short course student, you will attend lectures and seminars, but you will not undertake assessment, or receive UCL course credit. You will receive a certificate of attendance.   

Homeless and Inclusion Health is a dynamic module delivered by UCL's Institute of Epidemiology and Health Care having been developed in partnership with the Faculty for Homeless and Inclusion Health (affiliated to Pathway). It offers an opportunity for those with an interest in excluded or hard-to-reach groups the chance to learn from world-class UCL researchers, experienced policy makers and service providers, and former/current members of these communities.

Delivered over seven weeks in Term 3, from 1^st May to 12^th June 2025, with in-person seminars on Thursday afternoons between 1-4pm (and online directed learning in the week preceding each in-person seminar), this unique module will appeal to medical/ healthcare, charity, governmental and voluntary sector professionals looking to expand their knowledge of this important area. As a taster course student, you will attend lectures and seminars and undertake the assessment. If you pass the assessment at the first attempt, you will receive a Grade Report and are eligible to receive UCL credit (APL credit). Taster credits must be applied to a postgraduate programme within five academic years of taking the taster course.

This course is for anyone needing to analyse multilevel data. When your data are structured in nested groups (like students within classrooms, patients within hospitals, or individuals within regions), and you want to understand how factors at both levels influence the outcome variable, appropriate statistical techniques that account for this hierarchical structure should be used. The aim of the course is to provide an introduction to the analysis of multilevel data and to the selection of appropriate multilevel models based on your research questions, including whether to allow intercepts or slopes to vary across groups (random effects vs. fixed effects). Practical examples of how to successfully fit multilevel models and interpret results will be presented, using the statistical package Stata.

There will be 6 sessions taught via Zoom. Every day, a theoretical lecture will be followed by a computer practical session (Stata) for attendees to see how to perform statistical analyses and interpret and evaluate the results. All material (including slides, datasets, .do files, and solutions) will be available to attendees prior to the start of the course.