There are still a few places left on the following course:-

MIXED MODELS ANALYSIS OF MEDICAL DATA USING SAS 

Edinburgh, 8-10 October 2014

Registration: http://www.uoemixedmodels.com/  

Course content: 

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 
-        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 
-        Introduction to simulation methods, in particular MCMC 

Day 3 
-        Generalised linear mixed models 
-        Mixed models for ordinal data 
-        Fitting GLMMs with PROC GLIMMIX, PROC GENMOD and PROC MCMC 

Note the practical sessions will focus on constructing models and interpreting results from PROC MIXED output, and are not "hands-on". 

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. Suitable procedures are now readily available for fitting these models well known packages such as SAS. This has led widespread application and knowledge of mixed models becoming essential for medical statisticians. 

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                                   	    		£850 
Registered charities/academic institutions   	£650 

Fees include lunches, a course dinner and a delegate's pack including full course notes. 

The speakers: 

Dr Helen Brown is the Senior Statistician at The Roslin Institute, University of Edinburgh. She has over twenty five years of practical experience as a statistician and has been employed within academia, the health service and the pharmaceutical industry. She has a research interest in the use of mixed models in medicine and is co-author of Applied Mixed Models in Medicine, in the John Wiley Statistics in Practice series. 

Robin Prescott is Emeritus Professor of Health Technology Assessment at the University of Edinburgh. Previously he was Director of the Medical Statistics Unit at the University. 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.

The speakers are authors of 'Applied Mixed Models in Medicine', in the John Wiley Statistics in Practice series, with a third edition due November 2014.

Venue: 

The course will take place within the St Leonard's Hall, a stately mid-nineteenth century mansion retaining many original features and inspiration for the St Trinian's school novels. St Leonards Hall is within the grounds of Pollock Halls campus of the University and located approximately 2 miles from the city centre. Accommodation is available in three-star properties; Salisbury Green Hotel and Masson House on the Pollock Halls campus - a 1 minute walk from the course venue at St Leonard's Hall. Alternatively there are several hotels and guest houses to suit all budgets within 10 minutes walk from the Pollock Halls.

Further information: 

Course website and registration: http://www.uoemixedmodels.com/

Enquiries: [log in to unmask] or telephone +44 (0)131 651 2150




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