Multi-level Models (2 days)
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A 2 day course: 19th - 20th February 2018 The aim of this module is to introduce how to analyse data that has a multi-level, hierarchical structure. The mathematical form of multilevel models is described. The models are developed first for continuous outcomes moving from linear regression to the random intercept model to the random coefficient model. Multilevel models are then shown for binary and other outcomes. Software implementation is described with the lme4 package in R. Some use of MLwiN is also made. Important please note: If the course is fully booked please do complete the registration, as then you will be placed on a waiting list. You will be allocated a place if more places become available or if people cancel. We will make every attempt to accommodate Lancaster University staff and postgraduate research students on our courses. However, if a course becomes fully booked we reserve the right to give priority to students on the MSc in Statistics, MSc in Data Science, and external participants. Details of course fees. Cancellation PolicyRegistrations are transferable to another course or individual at any time. Full refunds will be given for cancellation 10 or more working days before the course start date. Otherwise the full course fee will be charged. Accommodation Details |
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