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The University of Southampton
Southampton Statistical Sciences Research Institute

Mixed models with applications in medicine Event

Time:
09:00 - 16:00
Date:
12 - 13 June 2014
Venue:
Southampton Statistical Sciences Research Institute Building 39 University of Southampton Southampton, SO17 1BJ

For more information regarding this event, please telephone MedStat courses: S3RI short course enquiries on +44 (0)23 8059 5376 or email professionaltraining.FSHS@soton.ac.uk .

Event details

This course will provide an overview of the current ideas in linear mixed models and their manifold medical/health applications with a continuous outcome appropriate for analysing studies with simple and more complex hierarchical data structure such as such as nested fixed or random effects.

Course objectives:
This course will focus on the application of linear mixed models for medical applications with a continuous outcome. Topics will include simple and more complex hierarchical data structure such as repeated measurements on patients within wards within hospitals, crossed and nested effects, fixed and random effects as well as random coefficient models. The course will give an introduction to the general mixed model and highlight its ability to cope with potentially nested fixed and random effects simultaneously. Data structures with repeated measures in time will also be touched upon. All models will be illustrated at hand of study data. The course will include a mixture of lectures and practical workshops using the software STATA.

The course is aimed at researchers who want to perform linear mixed model analysis and/or need to analyse hierarchically structured study data. Participants may be academic researchers in the Medical and Health or Social Sciences sector or may work within the Government, pharmaceutical industry, or other parts of the private sector.

Participants are expected to have a good working knowledge of simple statistical methods, including a basic understanding of regression and analysis of variance. No familiarity with the software STATA is required.

Duration:
On the first day, the course will start with registration and coffee at 9.00 with formal teaching starting at 9.30 a.m. On the last day, formal teaching will end at about 4.00p.m. Afterwards there will be an opportunity for participants to ask questions about the course and to discuss with the instructor how to analyse their own data (until about 5pm). (Participants are welcome to bring their own data if they wish).

Total cost price:
£150 per day for registered students
£200 per day for staff from academic institutions (including research centres)
£250 per day for all other participants
The course fee includes course materials, lunches and morning and afternoon refreshments. Travel and accommodation are to be arranged and paid for by the participant.

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Speaker information

Dankmar Böhning ,Chair in Medical Statistics

Antonello Maruotti ,Lecturer in Medical Statistics

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