MIXED MODELS ANALYSIS OF MEDICAL DATA USING SAS
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Medical Statistics Unit, Edinburgh University, UK
25-27 September 2002
Lecturers: Robin Prescott and Helen Brown
COURSE CONTENT
This course will cover the statistical background to mixed models and will
emphasise their practical application in medical data with particular
reference to clinical trials. All analyses will be illustrated using SAS and
lectures will be combined with practical sessions in order to reinforce
concepts. Topics covered include:
Day 1
- General concepts and underlying statistical theory
- Use and interpretation of PROC MIXED
- Multi-centre trials and meta-analysis
- Consideration of issues such as biased standard errors, significance
testing and negative variance components.
Day 2
- Repeated measures trials
- Random coefficients models
- Crossover trials
- More complex trial designs
- Case-control studies
- Introduction to Bayesian methods.
Day 3
- Generalized linear mixed models
- Mixed models for ordinal data
- Use of SAS procedures and macros for fitting GLMMs
WHY ATTEND?
Conventionally clinical data is analysed using fixed effects models.
However, benefits can often be gained by using a mixed model. For example:
in repeated measures trials full allowance can be made for the correlation
occurring between the repeated observations even if data are missing; in
multicentre trials or meta analyses treatment standard errors are more
appropriately based on between centre/trial variation (fixed effects
standard errors are based on within centre/trial variation); in crossover
trials more accurate treatment means are often achieved by combining within
and between patient estimates. Previously the
use of these models has been limited by heavy computational requirements and
a lack of generally available software but this is now much less of a
restriction with the introduction of suitable procedures into well known
packages such as SAS. As with any statistical technique a firm understanding
of the theoretical
background is essential to allow its effective application and to obtain a
clear interpretation of results.
THE SPEAKERS
Robin Prescott is director of the Medical Statistics Unit. He has been
working in the medical field for over thirty years and has a particular
interest in cross-over trials. He has wide experience of multi-centre trials
and of working with the pharmaceutical industry.
Helen Brown is a Principal Statistician within the NHS in Scotland. She has
over fifteen years of practical experience as a statistician including five
in the pharmaceutical industry and eight in the Medical Statistics Unit.
The speakers are authors of the textbook Applied Mixed Models in Medicine
published in the Wiley Statistics in Practice series.
FEES
Early booking rate £645 (bookings before 28 June), standard rate £745,
additionally a limited number of places will be available on enquiry to
those from non-commercial organisations at the reduced rate of £395. Fees
include daily morning coffee, lunch, afternoon tea, a course dinner and a
delegate's pack including full course notes.
FURTHER DETAILS
For booking form and accomodation information please contact,
Lisa Ellis
Office of Lifelong Learning
The University of Edinburgh
11 Buccleuch Place
Edinburgh EH8 9LW
Tel: 0131 651 1818
Email: [log in to unmask]
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