The aims of this unit are: to introduce fundamental concepts of biostatistics and provide a background in descriptive and analytical methods that are used to estimate association between variables. This unit covers statistical theory, data entry and manipulation methods, data summarising, basic methods of association and linear and logistic regression. With the basic tools found within this unit students will be able to enter, manipulate and check the validity of data and use statistical software to analyse and interpret results. Students will be required to use Microsoft Excel, Word and statistical software R (RStudio). The analytical methods used here form the foundation of research methods in epidemiology and health services research.
|Unit name||Introduction to Biostatistics|
|Faculty/School||College of Health and Medicine
School of Medicine
|Available as student elective?||Yes|
|Location||Study period||Attendance options||Available to|
|Hobart||Semester 2||On-Campus||Off-Campus||International International||Domestic Domestic|
- International students
- Domestic students
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|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 2020 are indicative and subject to change. Finalised census dates for 2020 will be available from the 1st October 2020.
|Band||CSP Student Contribution||Full Fee Paying (domestic)||Field of Education|
|2||2020: $1,190.00||2020: $2,525.00||061300|
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.
Fully flexible on-line
Multiple choice and short answer questions (45%) Statistical reports (55%)
|Timetable||View the lecture timetable | View the full unit timetable|
B.R. Kirkwood and J.A.C Sterne - Essential Medical Statistics 2nd Ed
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