We are announcing four courses, which are scheduled to take place in February and March 2004. Summary information is given below. For a list of topics covered in each course, see www.ssc.ac.uk/courses/sctime04.html
For more detailed information and registration forms please contact Valerie Walker at the Statistical Services Centre, The University of Reading (email [log in to unmask]), providing your address and/or fax number.
A Review of Basic Statistics
Dates: 4-5 February. Duration: 2 days. Price: £460 (Fee of £690 for attending this course together with Regression Analysis: A Hands on Approach (4-6 February)).
This course builds up the basic ideas of statistics systematically and quickly. It provides an introduction to methods of summarising and presenting data, estimation, confidence intervals and hypothesis testing. Mathematical details will be kept to a minimum. A wide choice of statistical software is available for practical work.
Regression Analysis: A Hands-on Approach
Date: 6 February 2004. Duration: 1 day. Price: £245.
Regression is a powerful technique for studying relationships between quantitative variables. Summarising relationships by the most appropriate equation (modelling) is very quick when using a statistical package. It is also easy to progress from basic models to more complex situations, such as comparison of regressions.
This course gives a practical introduction to regression techniques.
Analysis of Experimental Designs Commonly used in Medical Research
Dates: 1-3 March 2004. Duration: 3 days. Price: £840 (Fee of £1295 for attending this course together with Design and Analysis of Crossover Experiments using SAS GLM and MIXED Procedures (1-5 March)).
This course is concerned with the analysis of certain kinds of unbalanced experiments that occur in all phases of clinical trials research. In particular, emphasis is placed on analysing designs in which the experiment units (often subjects) are assigned to treatment groups under reasonable types of restrictions. These kinds of experiments include multi-centre studies and/or those that involve repeated measurements on each subject.
Design and Analysis of Crossover Experiments using SAS GLM and SAS MIXED Procedures
Dates: 4-5 March 2004. Duration: 2 days. Price: £560.
Crossover designs are special types of repeated measures experiments where the experimental units are given different treatments in different sequences over time. They offer some real advantages over traditional parallel subject designs when comparing different treatments because crossover designs allow each subject to serve as his/her own control. There are, however, certain pitfalls that must be avoided if crossover designs are to be used effectively.
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