Note: This is an archived Handbook entry from 2010.
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2010:July, Parkville - Taught on campus.
Timetable can be viewed here. For information about these dates, click here.
|Time Commitment:||Contact Hours: One 4-hour lecture per week over the first 6 weeks of semester |
Total Time Commitment: Students will be expected to undertake additional tasks, reading and preparation equivalent to an average of 80 to 90 hours of additional time commitment
|Prerequisites:|| Students must have either 505-969 and 505-970 OR 505-101 and 505-102 |
Study Period Commencement:
|Recommended Background Knowledge:||None|
|Non Allowed Subjects:||None|
|Core Participation Requirements:||Special computer skills required: Students are expected to have experience using the Stata statistical package for basic descriptive statistics|
CoordinatorDr Julie Simpson
Centre for Molecular, Environmental, Genetic and Analytic (MEGA) Epidemiology
Tel: +61 3 8344 0671
Academic Programs Office
Melbourne School of Population Health
Tel: +61 3 8344 9339
Fax: +61 3 8344 0824
This subject covers linear regression methods for continuous outcome variables and logistic regression methods for binary outcome variables. The focus will be on regression methods and models used in epidemiology. The concepts of correlation (for linear regression) and proportions and odds ratios (for logistic regression) will be reviewed. Topics common to both types of regression modelling including model fitting, prediction and how to address confounding and interaction among covariates. Many simpler formula-based techniques for epidemiological analysis will be re-cast within the regression framework. Strategies for analysis including model building, model checking and regression diagnostics will be covered briefly. Extensive case studies and real-world examples will be investigated using the statistical package Stata; a key aim of this subject is to equip students with the practical skills to fit and interpret regression models.
|Objectives:||On completion of this subject, students are expected to: |
Two written assignments equivalent to 3500 words, one on each of linear and logistic regression (the first assignment worth 30% (1,500 words) will be due mid-teaching period, the second worth 40% (2,000 words) a few weeks after the end of teaching) and an end of semester examination (1.5 hours in length constituting 30% (1,500 words) of the total assessment) to be held in the University examination period.
|Prescribed Texts:||Kirkwood, B.R. & Sterne, J., Essential Medical Statistics, 2nd Edition, Blackwell Science, 2003.|
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
On completion of this subject, students are expected to:
|Links to further information:||http://www.sph.unimelb.edu.au|
This subject is a group 1 elective in the Master of Public Health.
Master of Environment |
Master of Environment
Master of Epidemiology
Master of Science (Epidemiology)
Postgraduate Certificate in Environment
Postgraduate Diploma in Environment
Epidemiology and Biostatistics |
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