The following courses will take place at the Royal Statistical Society
this autumn.
For full details about and booking forms for each of the courses please
visit www.rss.org.uk/courses
All courses take place at the Society's Headquarters - 12 Errol Street,
London EC1Y 8LX
Meta-Analysis (Two day course)
Wednesday 11 - Thursday 12 October
Course presenter: Stephen Senn (University of Glasgow)
Meta-analysis has now achieved a century of use and controversy:
* from Karl Pearson's analysis in 1904 in the BMJ of inoculation
for enteric fever
* to Juni et al's analysis in 2004 in the Lancet of risks of
cardiovascular events in taking rofecoxib
This 2-day course will prepare participants for the second century of
meta-analysis, covering the practicalities of carrying out such
analyses, and using case studies where appropriate. The course aims to
cover techniques and controversies in applying meta-analysis to
summarise the results of randomised clinical trials.
The course will be invaluable for all those involved in meta-analysis,
whether as consumer or producer, or working for sponsor, regulator,
contract research organisation or academia. No previous knowledge of
and experience in carrying out meta-analysis is required but a basic
understanding of the general linear model is assumed.
The course will include interactive and discussion sessions.
Registration on Day 1 from 9.30am. The course runs from 10am to 5.30pm
on Day 1 and 9am to 4pm on Day 2
Missing data (Two-day course)
Tuesday 14 - Wednesday 15 November
Course presenters: James Carpenter and Mike Kenward (London School of
Hygiene & Tropical Medicine)
This 2-day course is aimed at applied statisticians, particularly those
working with social and medical applications, in both the public and
private sectors.
At the end of the workshop it is hoped that participants will:
(i) be able to assess the issues raised by missing data in their
research;
(ii) be able to judge the appropriateness of methods for dealing with
missing data in the applied literature, and
(iii) be able to analyse more routine partially observed data sets, and
have an intuition for how to tackle more complex problems.
Participants are expected to hold an MSc in applied statistics, or
equivalent. No previous knowledge of the missing data literature will
be assumed, but the development will use statistical modelling concepts
and notation.
Computer sessions (format to be confirmed) will provide participants
with the chance to try out the methods.
Registration on Day 1 from 9.30am. The course runs from 10am to 5.30pm
on Day 1 and 9.30am to 4.30pm on Day 2
Presenting data (One-day course)
Thursday 30 November, 10am-4.30pm (registration from 9.30am)
Course presenter: Ed Swires-Hennessy (Local Government Data Unit -
Wales)
This course is the foundation to all presentations of statistical
information. The basic principles of presenting information in tables,
charts, maps and text are explained. These are illustrated and then
re-enforced through practical exercises.
Participants will be equipped to disseminate statistical messages in a
clear, accurate and meaningful way across various media to general
audiences.
The course is for anyone who is involved in communicating statistics to
non-statisticians or who reports on data - of any description - within
organisations, to specific communities and to the general public where a
message is being given. It is not necessary to be a statistician as no
formulae are presented. The day will be a mix of presentation, tuition
and exercises which all reinforce the communication message.
Paul Gentry
Theme Manager, Meetings & Conferences
Royal Statistical Society
Direct Tel. (020) 7614 3918
Fax. (020) 7614 3905
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