An Introduction to Medical Statistics for Non-Statisticians
Course Code: RCBMSTAT
There is an expectation that researchers disseminate their work appropriately, through publication in peer-reviewed journals. This requires knowledge of the relevant statistical analysis and presentation techniques. However, statistical understanding is a skill which must be learned. Attendance at this course can help attendees to develop the relevant skills.
This course has been expanded relative to previous years to include more detail on the principles of study design and sample size calculations.
Through attendance at the course you will:
- Gain knowledge and understanding of some of the more common statistical principles involved in the analysis and interpretation of medical research data.
- Be more aware of the importance of the choice of an appropriate statistical technique for comparison of study groups.
- Gain expertise in the use of a statistical package (SPSS) to analyse and present study data.
Topics covered include:
- Basic data description
- Statistical tests (both parametric and non-parametric)
- Confidence intervals
- Choice of appropriate techniques for comparing two groups
- Study design
- Principles of sample size calculation
Standard Rate: £400
Concession Rate: £300 (HEI/NHS Staff/Students)
Course Duration: 2 days
Next available dates: TBD
The course is coordinated by Caroline Haig (details below). All teaching staff on the course are qualified statisticians and have experience of working in medical statistics and clinical trials. All teaching staff have training and experience in teaching statistics, including training from the Royal Statistical Society Centre for Statistical Education.
Dr Caroline Haig, Biostatistician
Caroline has worked in medical statistics, including a Masters & PhD, since 2005 and has extensive experience of teaching both undergraduate and postgraduate students. She has been teaching the course since 2012.
In the case of illness or unavailability of the usual speakers, there are backup speakers within the Robertson Centre for Biostatistics who are both suitably statistically qualified, and experienced in teaching clinical personnel.