Event Details

A 2 day course: 18th - 19th February 2019 The aim of this module is to introduce how to analyse data that has a multi-level, hierarchical structure...

A 2 day course: 18th - 19th February 2019

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:

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.

Payment: Once you have registered, please pay at the online shop

https://online-payments.lancaster-university.co.uk/product-catalogue/courses/mathematics-and-statistics/short-courses-and-cpd/applied-statistics-psc-short-courses-20182019

Accommodation Details: Can be found here.

Cancellation Policy

Registrations 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.