Note: This is an archived Handbook entry from 2010.
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2010:Semester 1, Parkville - Taught online/distance.
Semester 2, Parkville - Taught online/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
505-105 Mathematics Background for Biostatistics (MBB)
505-975 Probability and Distribution Theory (PDT)
|Recommended Background Knowledge:||None|
|Non Allowed Subjects:||None|
|Core Participation Requirements:||None|
CoordinatorProf John Carlin
Semester 1: Ms Rachel O'Connell & Ms Liz Barnes, University of Sydney
Semester 2: Dr Patrick Kelly, University of Sydney
Biostatistics Collaboration of Australia
ORAcademic Programs Office
Melbourne School of Population Health
Tel: +61 3 8344 9339
Fax: +61 3 8344 0824
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.
|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.|
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).
Printed course notes and assignment material by mail, email, and online interaction facilities.
Special Computer Requirements: SAS or Stata Statistical Software
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|
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|
This subject is not available in the Master of Public Health.
Master of Biostatistics |
Postgraduate Certificate in Biostatistics
Postgraduate Diploma in Biostatistics
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