We are announcing three courses, which are scheduled to take place in
October 2005. Summary information is given below.
For more detailed information and registration forms please see
http://www.ssc.rdg.ac.uk providing your address and/or fax number or
email [log in to unmask]
Fitting General Linear Models
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Date: 10-11 October 2005. Duration: 2 days. Price: 540 GBP. (Fee of £1250 for attending this course and Analysis of Mixed Models (10-14 October 2005)).
General Linear Models (GLMs) form a unified underlying theory that covers simple and multiple linear regression techniques and general analysis of variance procedures for balanced and unbalanced data. An essential feature is the use of a normally distributed residual or error term.
This course will briefly present the theory of general linear models and discuss their application and interpretation in problems of agriculture, biological and medical sciences and in pharmaceutical work. Many examples will be used to illustrate a wide range of GLMs. Practical sessions, based on SAS or GenStat, will help participants understand the ideas involved.
Analysis of Mixed Models
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Dates: 12-14 October 2005. Duration: 3 days. Price: 810 GBP. (Fee of 1250 GBP
for attending this course together with Fitting General Linear Models (10-14 October 2005)).
Mixed Models have both fixed and random effects. Such models arise when treatments are a random selection from a wider group and when data are collected from the multi-strata structure with different levels of variability.
Practical situations where such experimental data arise are many. For example, in a clinical trial to evaluate the effectiveness of two drugs, the drugs may be administered to patients from a random selection of hospitals with a view to generalising the conclusions to patients from all hospitals. In environmental studies, random locations within randomly selected sites may be measured for soil and environmental characteristics. Models for such situations will be fitted using the SAS MIXED procedure. Interpretation of MIXED output will be covered in lectures and computer practical sessions.
Introduction to Survival Analysis
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Date: 17-19 October 2005. Duration: 3 days. Price: 840 GBP (includes textbook).
Survival data arise in a literal form from trials concerning life-threatening conditions, but the methodology can also be applied to other waiting times such as the duration of pain relief. This course discusses both the design and analysis of clinical trials in which response variable is a survival time.
During lectures the statistical package SAS will be used to illustrate the methodologies, and in practical sessions participants will analyse and report on the results of a simulated clinical trial. Considerable emphasis is placed on practical work and the interpretation of models, but some underlying theory will also be explained as appropriate.
Valerie Walker
Short Course Administrator
Statistical Services Centre
School of Biological Sciences
Tel: +44 (0) 118 378 8689
Fax: +44 (0) 118 975 3169
email: [log in to unmask]
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