Close
Overview
Overview
Paragraph

This module equips students with the skills needed to analyse and interpret data from matched case-control studies, cohort studies, studies in which there is correlation among observations (with examples from cohort and cross sectional studies), and cluster-randomised trials. An overall framework for analysis strategy, building from univariable to multivariable modelling, is provided. An introduction to causal inference, to key concepts in thinking about accounting for missing data, and to additive versus multiplicative models, is provided. The module is aimed at students familiar with statistical software who wish to build on existing quantitative analysis skills to broaden and deepen their understanding of key analytical methods, and is assessed through a data analysis and reporting exercise.

The overall module aim is to enable students to understand, apply, and interpret the results of, a range of relatively advanced methods for the design and analysis of epidemiological studies.

Intended learning outcomes

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

  1. Select, apply and interpret the results of regression methods for the analysis of matched case-control studies, cohort studies, and cross-sectional studies, using appropriate computer software.
  2. Understand when individual observations are not independent, and how to account for this by using statistical methods that account for such correlations.
  3. Plan a strategy of analysis for an epidemiological dataset, using an appropriate choice of statistical methods.
  4. Write a clear report presenting and interpreting the results of an analysis of epidemiological data.

Assessment

This module is assessed by a 1,500 word Time Limited Assessment.

Distance learning modules - mode of delivery, credits and spec
Paragraph

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.

Entry requirements
Distance learning modules - entry requirements
Paragraph

Please see the module specification for any pre-requisites for this module.

How to apply
Distance learning modules - how to apply
Paragraph

Applications for distance learning modules can be made via the online application portal.

Distance learning modules - application deadlines
Paragraph

Application deadline and other key dates

MSc, PG Dip, PG Cert and individual modulesDeadline
Application deadline14 September 2026
Registration deadline (new students)12 October 2026
Programme startsOctober 2026