This unit builds upon the courses CAM528 'Introduction to Epidemiology' and CAM625 'Introduction to Biostatistics'. It will consolidate and expand the knowledge on epidemiology and teach biostatistics in an applied manner. The goal is to introduce the realities of data analysis by using real research datasets. Different types of analyses (logistic regression, linear regression, log-binomial regression, Poisson regression, and survival analysis) will be used for different study designs (case-control study, cross-sectional study, cohort study). Epidemiological concepts such as confounding, interaction (effect modification), bias and measurement error will also be explored through these datasets, supplementing the content covered in course readings and other unit materials. It will use the statistical package R, teaching the use of code to analyse the data and how the interpret the output there from.
|Unit name||Extended Epidemiology and Biostatistics|
|Faculty/School||College of Health and Medicine
School of Medicine
|Discipline||Menzies Institute for Medical Research|
Associate Professor Ingrid van der Mei and Mr Petr Otahal
|Available as student elective?||Yes|
|Location||Study period||Attendance options||Available to|
- International students
- Domestic students
Please check that your computer meets the minimum System Requirements if you are attending via Distance/Off-Campus.
Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.
Special approval is required for enrolment into TNE Program units.
|Study Period||Start date||Census date||WW date||End date|
* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (see withdrawal dates explained for more information).
Unit census dates currently displaying for 2019 are indicative and subject to change. Finalised census dates for 2019 will be available from the 1st October 2018.
|Band||CSP Student Contribution||Full Fee Paying (domestic)||Field of Education|
|2||2019: $1,169.00||2019: $2,321.00||061399|
Fees for next year will be published in October. The fees above only apply for the year shown.
Please note: international students should refer to this page to get an indicative course cost.
You cannot enrol in this unit as well as the following:
Fully flexible on-line
Module quizzes (total of 75%); writing assignment (making use of data analysis, writing up the results, and interpreting the findings in a brief discussion as would be done in a scientific publication) (25%).
|Timetable||View the lecture timetable | View the full unit timetable|
Co-op Bookshop links
The University reserves the right to amend or remove courses and unit availabilities, as appropriate.