Course title: Multilevel and Longitudinal Modelling
Academic Leads: Prof Richard Emsley and Prof Sabine Landau
Date: 18th February 2019 - 22nd February 2019
Venue: Seminar Room 1 and 2, Main Building, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), De Crispigny Park, London, SE8 5AF
Cost:
External: £750
Student: £562.5
Last booking: 7th February 2019
BOOKING: For more information and to book visit: https://estore.kcl.ac.uk/conferences-and-events/academic-faculties/institute-of-psychiatry-psychology-neuroscience/department-of-biostatistics-health-informatics/bhi-ee-programme-multilevel-and-longitudinal-modelling
COURSE AIM:
As health care data becomes more complex and multimodal, the structure of the data becomes increasingly complicated. There could be an increasing number of repeated measurements on the same individuals over time, longer duration of follow-up for time-to-event outcomes or nested hierarchies leading to non-independence of individuals. The use of simpler statistical approaches to analyse these data is invalid because the key assumptions of the those approaches do not hold. In this module, we introduce the concept of multilevel and longitudinal modelling, including time-to-event or survival analysis. The aim is for the student to understand the challenges of longitudinal and clustered data, and the concept and implementation of multilevel models. Students will also become familiar with the most common models for time-to-event data (inc. Cox proportional hazard models, additive hazard models), and finally link all these concepts together through joint modelling of survival and longitudinal data. Students will discover Stata commands that can fit all of these models and become familiar with the resulting Stata output, whilst applying them to real data structures.
REQUIREMENTS:
This workshop will assume that participants have a good knowledge of basic regression and statistical modelling (as can be gained in the BHI Introduction to Statistical Modelling course running in January) any syntax based statistical software, such as STATA (such as can be obtained from the BHI Introduction to Programming course running in October or the Introduction to STATA course running in January).
*** Participants will need to bring their own laptop computer with STATA installed. ***
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Best wishes,
Richard
Professor of Medical Statistics and Trials Methodology
Department of Biostatistics & Health Informatics
Institute of Psychiatry, Psychology & Neuroscience
King's College London
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