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Stats Courses at Imperial College London - Throughout 2010/11
Training courses outlined below are designed for people who need to perform data or statistical analysis using various statistical software. All our courses are hands-on computer based courses. Some knowledge of the Windows environment is assumed. The courses are aimed at participants from any subject area.
A reader with no statistical knowledge beyond such simple descriptive measures as means, percentages, and variances could fully understand 27% of journal articles [NEJM] in 1978-79, but only 12% in 2004, according to Switzer and Horton. Further, the kinds of statistical knowledge needed have changed markedly. Now, 66% of journal papers require some knowledge of survival analysis, compared to 11% in 1978-79. 51% of papers require some knowledge of multiple regression, compared to 5% in 1978-79. Uses of contingency tables and statistical power calculations have also seen major increases. Other methods have decreased in frequency of use, t-tests and Pearson correlation coefficients among them. There appears to be a substantial increase in the proportion of papers using more than one method.
You will find all these and other statistical methods in our courses below.
Further courses on topics related to statistics and statistical software are planned. It may be possible to tailor a course to your requirements.
See also courses for statisticians and users of statistics provided by the RSS Professional Development Centre: http://www.rss.org.uk/rsspdc


 
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