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EPM5007 · Design of randomised controlled trials

Official Handbook

2026 Handbook6 credit pointsLevel 5Department of Epidemiology and Preventive Medicine

Last checked: 23 Aug 2026 UTC

Overview

This unit will introduce randomised comparisons as a major tool used in medical research and the basis of providing evidence for improving clinical practice. By developing problems based on clinical questions, the need and value of different experimental designs will be introduced and expanded. Within this context, issues with regards to randomisation, ethical issues, clinical study design and analysis interpretation will be developed, as will selection of outcome variables, surrogate endpoints and dealing with missing data. Efficiency issues such as sample size and power will be introduced at appropriate points in the unit.

Offerings

CampusTeaching periodMode
Alfred HospitalSecond semesterTeaching is all online (ONLINE)

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

#AssessmentTypeWeightHurdle
1Written assignmentsWritten100%

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

prerequisite

  • MPH5040 — Introductory epidemiology
  • EPM5002 — Mathematical background for biostatistics
  • EPM5026 — Mathematical foundations for biostatistics

Joined by OR.

Learning outcomes

  1. Identify the benefits and ethical issues involved in randomisation as a mechanism for reduction and balancing bias, and implement a variety of randomisation schemes.
  2. Describe the principles behind the common experimental designs and be able to implement, analyse and interpret data from a variety of randomised designs.
  3. Describe the advantages and disadvantages of the use of surrogate endpoints.
  4. Describe the principles underlying Phase I, II and III and IV studies as well as of the scientific basis underlying issues in clinical studies including intention-to-treat, blinding, interim analyses, missing data subgroup analyses and the reporting thereof.
  5. State the reasons for the importance of sample size in clinical studies, and perform sample size calculations for a variety of trial designs with different outcomes.

Workload

Off campus students: Twelve hours per week, consisting of (on average) 4 hours per week for reading core material, 4 hours per week completing exercises (manual, computer-based, or on-line), 2 hours per week for on-line communication with teaching staff or students via WebCT, and 2 hours per week for assignment preparation. No residential component is required for this subject.

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