Introduction to Clinical Statistics module (GM51010)

In this module you will learn about the terminology and concepts of basic statistics. This will allow you to apply and interpret the results of statistical procedures.

You will look at how statistics can summarise and describe the main features of a dataset (descriptive statistics). You will also look at how sample data can help you draw conclusions and make predictions about a larger population (interferential statistics).

What you will learn

In this module, you will learn about:

• definitions of qualitative and quantitative types of data
• measures of central tendency, variability, and frequency distribution from raw data
• normal distribution
• use of sample data to make inferences about populations
• the differences between descriptive and inferential statistics, and their appropriate use
• the differences between parametric and non-parametric statistics, and their appropriate use.

By the end of this module, you will be able to:

• show a knowledge of the fundamental principles of statistics
• use and interpret key statistical concepts, such as central tendency, variability, normal distribution, frequency, and probability
• select and apply appropriate statistical techniques to analyse data
• use both descriptive and inferential procedures
• interpret the results of descriptive and inferential procedures

Assignments / assessment

• 2-hour written closed book exam (70%)
• multiple-choice-question exam (20%)
• class engagement (attendance and contribution to class activities) (10%)

Teaching methods / timetable

• lectures
• tutorial questions