Clinical Biostatistics

Subject POPH90118 (2011)

Note: This is an archived Handbook entry from 2011.

Credit Points:

12.50

Level:

9 (Graduate/Postgraduate)

Dates & Locations:

This subject has the following teaching availabilities in 2011:

Semester 1, Parkville - Taught online/distance.

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

Distance

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

Time Commitment:

Contact Hours: None - This subject is taught via Distance Learning
Total Time Commitment: 8-12 hours total study time per week

Prerequisites:

Subject

Study Period Commencement:

Credit Points:

POPH90015 Mathematics Background for Biostatistics

Semester 1, Semester 2

12.50

POPH90016 Epidemiology

Semester 1, Semester 2

12.50

POPH90148 Probability and Distribution Theory

Semester 1, Semester 2

12.50

POPH90017 Principles of Statistical Inference

Semester 1, Semester 2

12.50

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 Students Experiencing Academic Disadvantage Policy, academic requirements for this subject are articulated in the Subject Description, Subject Objectives, Generic Skills and Assessment Requirements of this entry.
The University is dedicated to provide support to those with special requirements. Further details on the disability support scheme can be found at the Disability Liaison Unit website.

Coordinator

Prof John Carlin

Contact

Dr Mark Jones, University of Queensland
Biostatistics Collaboration of Australia
Email: bca@ctc.usyd.edu.au
Website: www.bca.edu.au

Academic Programs Office
Melbourne School of Population Health
Tel: +61 3 8344 9339
Fax: +61 3 8344 0824
Email: sph-gradinfo@unimelb.edu.au

Subject Overview:	Clinical agreement (kappa statistics, Bland-Altman agreement method, intraclass correlation); diagnostic tests (sensitivity, specificity, predictive values, ROC curves, likelihood ratio); statistical process control (special and common causes of variation, Shewhart, CUSUM and EMWA charts); and systematic reviews (process, estimating treatment effect, assessing heterogeneity, publication bias).
Objectives:	To enable students to use correctly statistical methods of particular relevance to evidence-based health care and to advise clinicians on the application of these methods and interpretation of the results.
Assessment:	Four written assignments to be submitted during the semester worth 20%, 25%, 20% 25% respectively (approx 8 hours of work each). Contribution to online discussions, worth 10% (approx 6 hrs work).
Prescribed Texts:	None Resources Provided to Students: Printed course notes and assignment material by mail, email, and online interaction facilities Special Computer Requirements: Stata statistical software.
Breadth Options:	This subject is not available as a breadth subject.
Fees Information:	Subject EFTSL, Level, Discipline & Census Date
Generic Skills:	Independent problem solving, critical appraisal of research literature, clarity of written expression, sound communication of technical concepts
Links to further information:	http://www.sph.unimelb.edu.au
Notes:	This subject is not available in the Master of Public Health.
Related Course(s):	Master of Biostatistics Postgraduate Certificate in Biostatistics Postgraduate Diploma in Biostatistics

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