We are announcing three short courses, which are scheduled to take place in
July 2008 at the University of Reading, UK. Summary information is given
below. For more detailed information and registration forms please see
http://www.reading.ac.uk/ssc/ providing your address and/or fax number, or
email [log in to unmask]
A Review of Basic Statistics
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Dates: 14-15 July 2008. Duration: 2 days. Price: 535 GBP.
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
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Dates: 16-17 July 2008. Duration: 2 days. Price: 535 GBP.
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. A wide
choice of statistical software is available for practical work.
Survival Analysis for Medical and Health Professionals
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Date: 21-22 July 2008. Duration 2 days. Price: 535 GBP
Survival data arise in many medical areas. Examples include time to death
after an operation, time to recovery from an accident, and duration of pain
relief.
One particular aspect of time-to-event data is censoring, where the time to
an event is not known exactly; it is only known to be greater than a certain
value. The methods of analysis for survival data fully encompass the issue
of censoring.
The course is a basic practical introduction to some of the commonly-used
tools for analysing survival data. Statistical theory underlying the
different approaches is kept to a minimum, and emphasis is placed on how to
summarise data and how to interpret common hypothesis tests. The course will
also introduce and explain the concept of modelling survival data based on
the widely-used Cox regression model.
For practical work, participants may choose from SAS, SPSS and Stata
Statistical software packages. Examples used will be drawn from a variety of
applications in medicine and health.
Julia Harris
Short Course Administrator
Statistical Service Centre
University of Reading
UK
Tel: 0118 378 8689
Fax: + 44 (0)118 975 3169
email: [log in to unmask]
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