This course is designed to be an introduction of basic statistical concepts fundamental to clinical research, for professionals who have regular exposure to statistics either through studies or professional experience. The materials cover many key statistical topics, such as the interpretation of odds ratios and hazard ratios, meta-analysis and non-inferiority studies. While the course includes a few formulae for individuals who are interested in computational details, the course emphasises the application of statistical concepts to clinical investigation.
What You Will Learn
Basic statistical principles pertinent to clinical research.
Who Should Attend
This course will particularly benefit professionals who must understand and work with statistical concepts related to clinical research. It assumes a basic understanding of statistics (either through professional experience or studies) roughly equivalent to an introductory statistics course.
At the conclusion of this course, participants should be able to:
- Discuss basic statistical concepts such as variability, confidence intervals, hypotheses testing and P-values
- Use basic statistical terminology with ease
- Distinguish various study designs and identify techniques to avoid bias
- Recognise critical statistical issues in design and analysis
- Differentiate between a superiority and a non-inferiority design and know how each design should be reported
Participants will complete a knowledge check at the end of the course and will be provided with feedback to ensure learning objectives are attained.
Hotel & Travel
The DIA has blocked a limited number of rooms at the following hotel:
Holiday Inn London – Kensington Forum
97 Cromwell Road
SW7 4DN London
Tel.: +44 207 341 8000
at the rate of:
GBP 165.00 per room/night inclusive of breakfast and VAT.
In order to make your reservation, please contact the hotel directly at + 44 (0) 207 341 3355 and quote the booking reference ZO1.
Important: The room rate is available until 22 September 2014 or until the group block is sold-out, whichever comes first.