Principles of Statistical Inference
Subject POPH90017 (2010)
Note: This is an archived Handbook entry from 2010.
Credit Points: | 12.50 | ||||||||||||||||||||||||
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Level: | 9 (Graduate/Postgraduate) | ||||||||||||||||||||||||
Dates & Locations: | This subject has the following teaching availabilities in 2010: Semester 1, Parkville - Taught online/distance.
Semester 2, Parkville - Taught online/distance.
Distance Timetable can be viewed here. For information about these dates, click here. | ||||||||||||||||||||||||
Time Commitment: | Contact Hours: None Total Time Commitment: 8-12 hours total study time per week | ||||||||||||||||||||||||
Prerequisites: |
505-105 Mathematics Background for Biostatistics (MBB) 505-975 Probability and Distribution Theory (PDT) | ||||||||||||||||||||||||
Corequisites: | None | ||||||||||||||||||||||||
Recommended Background Knowledge: | None | ||||||||||||||||||||||||
Non Allowed Subjects: | None | ||||||||||||||||||||||||
Core Participation Requirements: | None |
Coordinator
Prof John CarlinContact
Semester 1: Ms Rachel O'Connell & Ms Liz Barnes, University of Sydney
Semester 2: Dr Patrick Kelly, University of Sydney
Biostatistics Collaboration of Australia
OR
Academic Programs OfficeMelbourne School of Population Health
Tel: +61 3 8344 9339
Fax: +61 3 8344 0824
Email: sph-gradinfo@unimelb.edu.au
Subject Overview: |
Review of the key concepts of estimation, and construction of Normal-theory confidence intervals; frequentist theory of estimation including hypothesis tests; methods of inference based on likelihood theory, including use of Fisher and observed information and likelihood ratio; Wald and score tests; an introduction to the Bayesian approach to inference; an introduction to distribution-free statistical methods.
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Objectives: | 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. |
Assessment: |
Two written assignments to be submitted during semester worth 35% each (approx 10 hrs work each). Submission of selected practical exercises throughout the semester worth 10% each (approx 6 hrs work each). |
Prescribed Texts: |
Printed course notes and assignment material by mail, email, and online interaction facilities. Special Computer Requirements: SAS or Stata Statistical Software
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Recommended Texts: |
Azzalini, A. Statistical Inference: Based on the Likelihood. Chapman and Hall, London, 1996 Clayton and Hills. Statistical Models in Epidemiology. Oxford University Press, Oxford, 1993. |
Breadth Options: | This subject is not available as a breadth subject. |
Fees Information: | Subject EFTSL, Level, Discipline & Census Date |
Generic Skills: |
Independent problem solving, facility with abstract reasoning, 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.
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Related Course(s): |
Master of Biostatistics Postgraduate Certificate in Biostatistics Postgraduate Diploma in Biostatistics |
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