Program Overview

Advanced Statistical Methods

Overview

This short course will enable you to develop your understanding of the statistical basis of generalised linear modelling (GLM) and its application in different situations, including the GLM regression output from more complex data analysis methods.

Content

On completion, you should be able to:

• Understand the statistical basis of generalised linear modelling (GLM).
• Apply GLM methods to different epidemiological designs (i.e., clinical trials, cohort and case control studies).
• Apply GLM methods to different study outcomes (i.e., binary, continuous and survival).
• Understand and interpret GLM regression output from data analysis, including understanding assumptions, limitations and when more complex analysis methods are recommended.

Course Delivery

Attendance Required

1 block week of teaching

Course Dates

Dates for 2025/26 are TBC. The course normally runs in January.

Assessment

One Written assignment

Credits

10 credits

Teaching Staff

Academics Involved in the Delivery of this Module

• Professor Alice Sitch Professor of Biostatistics
• Professor Karla Hemming Professor of Biostatistics

Entry Requirements

To enroll in this short course, applicants are required to hold a degree.

Fees and Scholarships

Fees for 2025/26 Entry

• Microcredential (Home): £605
• Microcredential (International): £1,630
• Non-credit: £505.60

Program Structure

The microcredential and the non-credit short course follow the same course structure. The difference between them is that with the non-credit short course, you do not take the assessment at the end, therefore, you will not receive credits but will receive a certificate of completion. This certificate cannot be converted to credits.