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Introductory Medical Statistics - two day course
23 May, 2019
-- REGISTRATION TO OPEN SHORTLY --
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Three rates will be available - please select the rate applicable to you:
- Student/trainee concessionary: £175
- First ten NHLI/RBH delegates (non-student/non-trainee) concessionary: £280
- Academic/NHS/corporate: £350
Course fees include handout, lunch and refreshments
Delegates will be asked to choose two out of three breakout sessions (45 minutes each; Day 2) when registering online (card payments only). Those wishing to register via invoice or [for Imperial College] internal payment are required to choose their sessions before registering; details are provided upon enquiry about the course.
Two-day event (Thursday 23 to Friday 24 May) designed to introduce anyone who uses statistics in their work or research to:
- statistical concepts including: epidemiological study design
- identifying and describing different data types
- selection of appropriate statistical tests (two and three group scenarios)
- calculation of sample size for basic study designs
- principles behind various forms of regression analysis, including survival analysis.
Suitable for - Doctors, nurses, clinical research fellows and postgraduate students
Accreditation by the Royal College of Physicians (12 CPD points) to be sought
Venue (map can be viewed here; photos on page 2) -
National Heart and Lung Institute
Education Centre, Paul Wood Lecture Theatre
Guy Scadding Building
London SW3 6LY
"Really useful introduction to statistical analysis. Highlighting the importance of study design, bias and confounding factors was very helpful. I finally understand power calculations – thank you!"
"Overall: really excellent. Helpful especially now that I’m working on analysing data – so this added a lot of clarity"
"Excellent course. Pitched at the right level for introduction. Relevant to me (Core Medical Trainee junior doctor). Well explained; opportunities for questions. Interesting, engaging speakers and affordable"
"All lectures were very informative, and the lecturers were willing to have open discussion and questions, which was nice. (...) Very, very informative and extensive (for naïve people like me who don’t have prior experience with statistics and research). I will keep it with me as a reference guide for when I get an opportunity to do research"
"Very good. Really one of the best courses in my life."
- Photo: Sara De Matteis and a delegate at a previous course