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Unit of study_

BSTA5006: Design of Randomised Controlled Trials (DES)

2024 unit information

The aim of this unit is to enable students to understand and apply the principles of design and analysis of experiments, with a particular focus on randomised controlled trials (RCTs), to a level where they are able to contribute effectively as a statistician to the planning, conduct and reporting of a standard RCT. This unit covers: ethical considerations; principles and methods of randomisation in controlled trials; treatment allocation, blocking, stratification and allocation concealment; parallel, factorial and crossover designs including n-of-1 studies; practical issues in sample size determination; intention-to-treat principle; phase I dose-finding studies; phase II safety and efficacy studies; interim analyses and early stopping; multiple outcomes/endpoints, including surrogate outcomes, multiple tests and subgroup analyses, including adjustment of significance levels and P-values; missing data; reporting trial results and use of the CONSORT statement.

Unit details and rules

Managing faculty or University school:

Public Health

Code BSTA5006
Academic unit Public Health
Credit points 6
Prerequisites:
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(PUBH5010 or BSTA5011 or CEPI5100) and (BSTA5100 or BSTA5023)
Corequisites:
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None
Prohibitions:
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None
Assumed knowledge:
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None

At the completion of this unit, you should be able to:

  • LO1. Identify the benefits of randomisation as a mechanism for reducing bias, and implement a variety of randomisation schemes
  • LO2. Demonstrate knowledge of the principles behind the common experimental designs
  • LO3. Describe the efficiency advantages of crossover designs, and be able to design and interpret the two-period crossover study
  • LO4. Demonstrate an understanding of the principles underlying Phase I, II, III and IV studies, as well as an appreciation of the scientific basis underlying issues in clinical studies including intention-to-treat, blinding, interim analyses, subgroup analyses and the handling of missing data
  • LO5. Appreciate the importance of sample size in clinical studies, and perform sample size calculations for a variety of trial designs with different outcomes

Unit availability

This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.

The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.

Session MoA ?  Location Outline ? 
Semester 2 2024
Online Camperdown/Darlington, Sydney
Outline unavailable
Session MoA ?  Location Outline ? 
Semester 2 Early 2020
Online Camperdown/Darlington, Sydney
Outline unavailable
Semester 2 2021
Online Camperdown/Darlington, Sydney
Semester 2 2022
Online Camperdown/Darlington, Sydney
Semester 2 2023
Online Camperdown/Darlington, Sydney

Modes of attendance (MoA)

This refers to the Mode of attendance (MoA) for the unit as it appears when you’re selecting your units in Sydney Student. Find more information about modes of attendance on our website.