Applied Analysis of Clinical Trials

Subject 360-841 (2008)

Note: This is an archived Handbook entry from 2008.Search for this in the current handbook

Credit Points:

12.500

Level:

Graduate/Postgraduate

Dates & Locations:

This subject has the following teaching availabilities in 2008:

Semester 1, - Taught on campus.

Pre-teaching Period Start	not applicable
Teaching Period	not applicable
Assessment Period End	not applicable
Last date to Self-Enrol	not applicable
Census Date	not applicable
Last date to Withdraw without fail	not applicable

Semester 2, - Taught on campus.

Pre-teaching Period Start	not applicable
Teaching Period	not applicable
Assessment Period End	not applicable
Last date to Self-Enrol	not applicable
Census Date	not applicable
Last date to Withdraw without fail	not applicable

Timetable can be viewed here. For information about these dates, click here.

Time Commitment:

Total Time Commitment: Students should expect to undertake a minimum of 120 hours lectures, research, reading, writing etc to complete this subject successfully

Prerequisites:

None

Corequisites:

None

Recommended Background Knowledge:

None

Non Allowed Subjects:

None

Core Participation Requirements:

For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry.

It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support: http://services.unimelb.edu.au/disability

Subject Overview:	At the end of this subject, Clinicians should be able to: Understand the major statistical methods used in analysing data from clinical trials Perform analysis on such data within limitations, using an appropriate statistical package. Understand the limitations and assumptions of such analyses Be familiar with the statistical terms used in the literature Interpret and explain to others in clear language the relevant information from such analyses Understand the advantages and weaknesses of repeated measures, crossover designs, factorial and blocked designs from a statistical perspective.
Assessment:	Three data analysis assignments (30%, 30% and 40%).
Prescribed Texts:	None
Breadth Options:	This subject is not available as a breadth subject.
Fees Information:	Subject EFTSL, Level, Discipline & Census Date
Related Course(s):	Graduate Diploma in Clinical Research Master of Clinical Research Specialist Certificate in Clinical Research (Informatics and Analysis)

Download PDF version.