This course begins with a look at the fundamentals of statistics including why statistics are important in biomedical sciences. Next, this course looks at how to interpret statistics through hypothesis testing via p-values, confidence intervals and sample sizes. Following this work, participants will dive into study design before concluding with a look at statistical analysis, systematics review and meta-analysis.
Moddules
In this first module, you will learn about the importance of statistics in biomedical sciences whilst exploring the different types of data which are usually classified by variable type and role. This module outlines key statistics including summary statistics and graphical methods for displaying data.
In this module you will:
- Understand the purpose of Exploratory Data Analysis
- Examine potential associations in the data
- Summarise data
- Apply measures to understand the shape of data
Walk through the different methods of testing hypotheses including p-values, confidence intervals and sample size. End the module with an exciting activity to consolidate the statistical training you have received.
In this module you will:
- Understand Hypothesis testing
- Complete Practical activities
Understanding the principles of study designs is crucial in research methods. In this module you will gain an understanding of the different study types and methods of sampling. You will then go further to explore common study designs utilised including cross-sectional studies, case-control studies, cohort studies and randomised controlled trials.
In this module you will:
- Understand study design principles
- Learn about common study designs
In this next module, you will learn which statistical analysis is appropriate for the different types of data. You will understand that for group comparisons of continuous data, certain tests are used and to investigate correlation and regression, other types of tests are used.
In this module you will:
- Learn about continuous data – group comparisons
- Learn about continuous data – correlation and regression
Learn about the highest quality of evidence in science – systematic reviews and meta-analyses. By the end of the module you will know the multiple steps required to perform a systematic review, the principles of meta-analyses and the relevant applications of systematic reviews and meta-analyses with examples.
In this module you will:
- Learn how to do a systematic review
- Learn the principles of meta-analysis
- Learn about their relevant applications
