Statistical issues in the design and analysis of research projects - April 2018

Course overview
This three-day course will give delegates an excellent grounding in the basics of biomedical statistics, as well as
providing a detailed introduction to other courses offered by the biostatistics team. It looks at the most commonly used study designs in biomedical health research, giving the background to the theory but also teaching participants how to apply their knowledge practically and interpret their results.

Who should attend? Is it right for me?
This course is aimed at PhD students within the Faculty of Health and Life Sciences who require a basic understanding of statistical techniques as part of their research studies.

What will delegates learn?
By the end of this course delegates will:

• Have an appreciation of variability and types of data - populations, sampling and confidence intervals
• Have a basic understanding of the concepts behind multiple regression analysis, logistic regression and survival
• analysis
• Have an understanding of SPSS standard statistical software.
• What does the course cover?
• Variability and types of data
• Populations, sampling and confidence intervals
• Hypothesis testing
• Overview of study design
• Regression and correlation
• Multiple linear regression and an introduction to logistic regression and survival analysis
• Data analysis using SPSS software.