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Clinical Statistics for Non-Statisticians

Get a solid understanding of basic statistical concepts fundamental to clinical research, in a course for professionals who have regular exposure to statistics either through studies or professional experience.


Overview

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 participants from previous courses say:

"It provides the background information that is extremely helpful for discussions with internal statisticians."

"I still need to work on the different designs / tests and how to understand results, but I now understand basic statistical language and notions (including p value)."

 

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, and who must present results of clinical trials. The course is aimed for non-statisticians and those who need to refresh their statistical knowledge. Participants should have a basic understanding of statistics (either through professional experience or studies) roughly equivalent to an introductory statistics course.

 

Learning objectives

At the conclusion of this course, participants will 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.
 


Plan Your Team's Professional Development

Why not take advantage and train your whole department (or even across different departments!) and benefit from increased:

  • Focus
  • Flexibility
  • Convenience
  • Cost Effectiveness

For more information please contact EMEA@DIAglobal.org


Program Committee

  • Kerry  Gordon
    Kerry Gordon Executive Director, Biostatistics, Japan, China, Europe and North America
    IQVIA, United Kingdom
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+41 61 225 51 51


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