On this module, students will learn how to select appropriate statistical methods to analyse data from clinical trials, apply basic methods of analysis and how to present, interpret and discuss the analyses clearly and concisely. The module will define probability and describe examples of its use. The normal distribution (and optionally, the binomial distribution) and their application will be explored, and the principles of statistical inference, including point and interval estimation, and the role of sampling variation, will be explained. As part of this introduction, a student will have the option to carry out basic data analyses from clinical trials using statistical software packages.

The overall module aim is to introduce the fundamental principles of statistical inference in clinical trials.

Intended learning outcomes

Upon successful completion of the module a student will be able to:

1. Demonstrate understanding of fundamental principles of statistical inference.
2. Identify appropriate statistical methods for analysis, summary and presentation.
3. Apply appropriate basic statistical methods for analysis, summary and presentation.
4. Explain the concepts of more complex methods of analysis appropriate to clinical trials.
5. Interpret results from the statistical methods covered on the module.

Assessment

This programme assessment includes:

• 2,000 words Assessed Assignment (60%).
• 2,000 words Time Limited Assignment (40%).

Mode of delivery

Our distance learning modules are delivered entirely online via directed self-study and online materials via the Virtual Learning Environment.

Module duration

Distance learning module studies begin at the start of October each year. Students may start their studies at any time once they gain access to Moodle (the virtual learning environment) and study materials, and work through the materials in line with the assessment schedules. The study year runs from the beginning of October through to June examinations. Some students also study between June and September with extended tutorial support (e.g. those undertaking projects, the Clinical Trials integrating report, or two of the Epidemiology modules). Deadlines for submission of coursework vary per programme but are usually in February, March, May, and September.

How you'll study

Our distance learning programmes are predominantly online and largely self-directed study to enable you to study independently and at times convenient to you. You'll have access to tutorial support and the ability to interact with other students and form study groups throughout the study year via the discussions in our Virtual Learning Environment, Moodle.

Credits

• CATS: 15
• ECTS: 7.5

Module specification

For full information regarding this module please see the module specification.

Please note: information based on the 2025-26 module specification subject to change for 2026-27 entry.