This module is for health care professionals with a desire to enhance their knowledge of statistics and data analysis.
Assuming no prior knowledge, it covers the basic statistical concepts necessary to address medical research questions, interpret the results, and make valid conclusions. By the end of the module, you'll have a good understanding of the basic concepts, and know how and when to use them. You'll also have the ability to apply them using a statistical software package.
What you'll learn
This module covers:
- the introduction to, including the role of, statistics in medical research, types of data, symmetric and skewed distributions, graphical and numerical summaries of data, and the Normal distribution
- correlation and regression
- hypothesis testing: parametric and non-parametric tests including t-tests, Mann-Whitney tests, tests for categorical data, ANOVA and Kruskal-Wallis including post-hoc comparisons and Bonferroni corrections
- power and sample size calculations
Who you'll learn from
This module is delivered by David Young, a lecturer in the Department of Mathematics and Statistics and a Consultant Statistician for the National Health Service (NHS).
With extensive knowledge and experience in both the NHS and academia, David's background in applied statistics includes:
- working in drug research and development for Sanofi Pharmaceuticals
- post-doctoral research in mapping drug distribution in brain tissue
- working as a statistician/data manager for a Clinical Trials Unit.
He's delivered more than 100 courses in Medical Statistics to NHS professionals, medical researchers and undergraduate students.
This module will be available online in Spring (01/03/2021-23/04/2021) or Summer (03/05/2021-25/06/2021). You'll choose to do the course using either Minitab or R Studio statistical software.
Funded places are available for this module and supported by the Scottish Funding Council.
What will I get at the end of it?
This course is worth 10 credits at SCQF Level 7.
Sign me up!
For more information on this module, please email firstname.lastname@example.org