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Inference Methods in Biostatistics (MAST90100)
Graduate courseworkPoints: 12.5On Campus (Parkville)
For information about the University’s phased return to campus and in-person activity in Winter and Semester 2, please refer to the on-campus subjects page.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
March
Melbourne School of Population and Global Health
OR
Currently enrolled students:
- General information: https://ask.unimelb.edu.au
- Email: Contact Stop 1
Future Students:
- Further Information: MSPGH Website
- Email: Enquiry Form
Please refer to the LMS for up-to-date subject information, including assessment and participation requirements, for subjects being offered in 2020.
Overview
Availability | March |
---|---|
Fees | Look up fees |
This subject provides the foundation theory and methods needed for biostatisticians to apply and critically interpret statistical inference, the science of drawing conclusions from data that are subject to variability. Major topics include review of the key concepts of estimation including sampling variability and construction of confidence intervals; null hypothesis testing; methods of inference based on likelihood theory (Fisher and observed information, likelihood ratio, Wald and score tests); and an introduction to the Bayesian approach to inference. The approach will emphasise a critical understand¬ing of the role of statistical inference in health research.
Intended learning outcomes
To provide a strong mathematical and conceptual foundation in the methods of statistical inference, with an emphasis on practical aspects of the interpretation and communication of statistically based conclusions in health research.
Generic skills
- Independent problem solving,
- Facility with abstract reasoning,
- Clarity of written expression,
- Sound communication of technical concepts
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
The following subject may be taken concurrently
Code | Name | Teaching period | Credit Points |
---|---|---|---|
POPH90148 | Probability and Distribution Theory |
Semester 1 (Online)
Semester 2 (Online)
|
12.5 |
Corequisites
None
Non-allowed subjects
None
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 3 November 2022
Assessment
Due to the impact of COVID-19, assessment may differ from that published in the Handbook. Students are reminded to check the subject assessment requirements published in the subject outline on the LMS
Description | Timing | Percentage |
---|---|---|
Practical exercise 1 (approx 4 hours of work, no more than 4 pages)
| Week 6 | 10% |
Practical exercise 2 (approx 4 hours of work, no more than 4 pages)
| Week 7 | 10% |
Major assignment 1 (approx 10 hours of work, no more than 10 pages)
| Week 9 | 30% |
Practical exercise 3 (approx 4 hours of work, no more than 4 pages)
| Week 11 | 10% |
Major assignment 2 (approx 12 hours of work, no more than 12 pages)
| Week 12 | 40% |
Last updated: 3 November 2022
Dates & times
- March
Principal coordinator John Carlin Mode of delivery On Campus (Parkville) Contact hours 24 hours Total time commitment 170 hours Teaching period 30 March 2020 to 29 May 2020 Last self-enrol date 10 April 2020 Census date 1 May 2020 Last date to withdraw without fail 27 May 2020 Assessment period ends 15 June 2020 March contact information
Melbourne School of Population and Global Health
OR
Currently enrolled students:
- General information: https://ask.unimelb.edu.au
- Email: Contact Stop 1
Future Students:
- Further Information: MSPGH Website
- Email: Enquiry Form
Time commitment details
170 hours
Last updated: 3 November 2022
Further information
- Texts
Prescribed texts
Marschner IC. Inference Principles for Biostatisticians. CRC Press, 2015.
Special Computer Requirements: Stata Statistical Software - Related Handbook entries
This subject contributes to the following:
Type Name Course Graduate Diploma in Biostatistics Course Master of Biostatistics - Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 3 November 2022