Dear Ms Pidduck,

 

I am writing you with regards to the below course, which I ‘d very much like to attend but  I am out of the country on these particular dates. Do you have any plans of running the same course at any other dates and when.

 

Secondly could you kindly add me to the e-mail distribution list for such events?!

 

Yours sincerely

 

Louisa

 

Louisa Gnatiuc, MSc

BOLD Study Co-ordinator

 

Imperial College London | NHLI

Respiratory Epidemiology and Public Health

Emmanuel Kaye Building, Manresa Road, London, SW3 6LR

 

Honorary Research Assistant

Imperial College Healthcare NHS Trust

Charing Cross Hospital

 

Ph  +44 (0) 207 352 8121 ext 3520 |  Fax  +44 (0) 207 351 8322 | skype: bold.uk

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http://www1.imperial.ac.uk/medicine/people/l.gnatiuc2/

http://www.boldstudy.org/

 

 

 

From: A UK-based worldwide e-mail broadcast system mailing list [mailto:[log in to unmask]] On Behalf Of Nicola Pidduck
Sent: 15 May 2012 11:11
To: [log in to unmask]
Subject: Workshop: Introduction to Meta-Analysis

 

 

Workshop: Introduction to Meta-Analysis

Finding out how evidence from several studies on the same topic can be usefully combined,

by Toby Prevost, Professor of Medical Statistics,

2^nd July 2012, 10am-1pm

Royal Statistical Society, 12 Errol Street, London, EC1Y 8LX

 

For an individual who is preparing a grant application, or writing the background and discussion sections of a paper, it is important to be aware of existing findings in the literature from meta-analyses or reviews. This course aims to equip participants to understand and interpret meta-analyses by presenting an informative example. The course would suit statisticians, general practitioners, and others working in health research.

This course will cover:

• The steps of a systematic literature review
• The odds ratio and confidence interval
• Interpretation of the overall pooled effect (Forest plot)
• Why it matters whether study results are heterogeneous or consistent
• Common biases in research studies and meta-analyses (publication bias)
• The need to assess study quality
• Further types of analysis (subgroups, sensitivity)

 

By the end of the session, participants should be able to:

• Appreciate the benefits of carefully planning a systematic review
• Understand graphical representations of individual study results
• Identify and interpret the pooled effect and the 95% confidence interval
• Explain why there may be heterogeneity in the results of the studies
• Be more familiar with types of bias in primary studies and meta-analyses

 

Following the morning course, the Primary Health Care Study Group will hold one of its regular scientific meetings at 2pm. The topic for this meeting will be “Meta-analysis: dealing with bias and other methodological problems” with short talks followed by tea and discussion, finishing at 5pm. All attendees of the morning course are welcome to attend.

 

Registration with payment is required. Booking forms can be downloaded from www.rss.org.uk/eventforms For a map and directions see www.rss.org.uk/findus 

 

Registration charges: RSS Student/Retired Fellows - £25; CStats/GradStats - £30; RSS Fellows - £35; RSS members - £40; none of the above - £60

Kind Regards,

 

Nicola

 

Nicola Pidduck

Personal Assistant to Rafael Perera/Administrative Assistant to Statistics Group

Department of Primary Care Health Science

 

University of Oxford

2nd Floor

23-38 Hythe Bridge Street

Oxford OX1 2ET

Tel: 01865 617843

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