Please note that the email send yesterday contained the incorrect course
fees for academic institutions and registered charities. The correct
course fee is 595 pounds. Here is the email again - apologies for the
error and the resulting second email.
MIXED MODELS ANALYSIS OF MEDICAL DATA USING SAS
29 September - 1 October 2004
This course will cover the statistical background to the mixed model
and will emphasise its 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
o General concepts and underlying statistical theory
o Use and interpretation of PROC MIXED
o Multi-centre trials and meta-analysis
o Consideration of issues such as biased standard errors,
significance testing and negative variance components.
DAY 2
o Repeated measures trials
o Random coefficients models
o Crossover trials
o More complex trial designs
o Introduction to Bayesian methods.
DAY 3
o Generalised linear mixed models
o Mixed models for ordinal data
o Use of SAS for fitting mixed models to non-normal data.
THE SPEAKERS
Robin Prescott
Robin is Director of the Medical Statistics Unit of The University of
Edinburgh and is Professor of Health Technology Assessment. 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
Helen is a Principal Statistician within NHSScotland. She has twenty
years of practical experience as a medical statistician with experience
in both academic and commercial environments. She has a research
interest in the application of mixed models in the medical field.
The speakers are the authors of Applied Mixed Models in Medicine, in
the John Wiley Statistics in Practice series .
WHO SHOULD ATTEND
This course is directed at medical statisticians who wish to
understand the statistical background to mixed models and to carry
out analyses using SAS.
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.
COURSE FEES
Standard rate £795
Academic institutions and registered charities £595.
Fees include daily morning coffee, lunch, afternoon tea, a course
dinner and a delegate's pack including full course notes.
REGISTRATION AND FURTHER INFORMATION
To reserve your place(s), please complete the registration form on
the inside cover and fax or post it to:
Office of Lifelong Learning - CPD Unit
11 Buccleuch Place
Edinburgh EH8 9LW
Tel: 0131 651 1819
Fax: 0131 651 1746
Email: [log in to unmask]
Alternatively you can book online at:
www.lifelong.ed.ac.uk/cpd/courses
TERMS AND CONDITIONS
Payment should accompany your registration form. If invoiced, fees
must be paid in full by the day before the course is due to commence.
Failure to pay may result in attendance being refused.
For cancellations received in writing at least five working days before
the course commences, a 20% administrative charge will be made. After
this date, fees will not normally be refunded but places are fully
transferable.
The University of Edinburgh reserves the right to cancel or postpone
the course, in which case fees will be refunded in full. In the event
of cancellation, The University of Edinburgh will not be held liable
for registrants' travel or accommodation costs. All payments should be
in sterling. Please note that participants are responsible for payment
of any bank charges incurred.
VENUE
The course will take place in the Holiday Inn, Edinburgh-North, one
mile from the city centre and easily accessible from the main railway
station and airport.
ACCOMMODATION
Course participants have the opportunity to stay at the Holiday Inn,
Edinburgh-North at the reduced rate of £80 per night. All bedrooms in
the hotel have modem points.
For further information please contact Reservations on 0131 332 2442
quoting The University of Edinburgh.
Alternatively please contact our accommodation agency, Murray Accommodation.
Telephone: 08707 509808
Email: [log in to unmask]
or visit www.murray-accommodation.co.uk
