The University of Edinburgh
MIXED MODELS ANALYSIS OF
MEDICAL DATA USING SAS PROC MIXED AND BEYOND
7-9 October 2015
Further course details:
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:
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.
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.
|Academic institutions and registered charities.||£650|
Fees include daily morning coffee, lunch, afternoon tea, a course dinner, course notes and a copy of the text book "Applied Mixed Models in Medicine" (third edition) by the speakers.
Helen Brown is the Senior Statistician at The Roslin Institute, University of Edinburgh, and has a research interest in mixed models. She has over thirty years of practical experience as a statistician mainly in medicine and the biosciences. She has been employed within academia, the health service and the pharmaceutical industry.
Eleanor Allan is an Honorary Fellow at the Statistical Services Centre (SSC) at The University of Reading. She has over 25 years experience as a consultant statistician and trainer. Prior to joining the SSC she worked in the pharmaceutical industry, and has always maintained an interest in medical applications of statistics. Her main interests include mixed modelling, multilevel modelling, repeated measurements analysis and the design and analysis of experiments.
The course will be based on material from the textbook "Applied Mixed Models in Medicine" by Helen Brown and Robin Prescott, and delegates will each receive a copy of the latest edition.
The course will be held in the Holiday Inn, Edinburgh-West, one mile from the city centre and easily accessible from the main railway station and airport.
Course participants have the opportunity to stay at the Holiday Inn, Edinburgh-West
TERMS AND CONDITIONS
In the event of cancellation, the following charges will apply: if cancelled more than 30 days prior to the first day of the course, a cancellation charge of 50% of the course fee; if cancelled less than 30 days prior to the first day of the course, the cancellation charge will be 100% of the course fee. No charge will apply if an alternative delegate is substituted.