Quantitative Methods
PostgraduateCUR-MPH4062023
Course information for 2023 intake
Study the causes and patterns of disease in human populations. Reveal essential data to plan, manage and evaluate services to prevent, control and treat disease.Support critical health investigation and research using statistical software.
Enrolments for this course are closed, but you may have other options to start studying now. Book a consultation to learn more.
- Study method
- 100% online
- Assessments
- 100% online
- Entry requirements
- Prior study needed
- Duration
- 14 weeks
- Loan available
- FEE-HELP available
Quantitative Methods
About this subject
At the completion of this subject students will be able to:
- apply epidemiological principles to their specific area of study within public health
- recognise and analyse appropriate epidemiological procedures according to study type
- critique and review epidemiological literature
- identify and interpret public health problems/issues to which epidemiological principals can be applied
- assess and apply multivariable statistical tests using STATA to relevant data sets
- analyse and use computer software packages (STATA) to analyse epidemiological data.
- Epidemiological research, rates and ratios, standardisation, bias, confounding and sensitivity and specificity of diagnostic and screening tests
- Association and causation
- Principles and evaluation of clinical trials, cohort and case control studies
- Multivariable analyses: simple and multiple linear regression, two-way analysis of variance (ANOVA), analysis of covariance (ANCOVA)
- Use of (SPSS) statistical software
This subject was previously known as Epidemiology and Biostatistics.
Epidemiological research, association and causation, rates and ratios, standardisation, bias, confounding and sensitivity and specificity of diagnostic and screening tests. Principles and evaluation of clinical trials, cohort and case control studies. Multivariable analyses: simple and multiple linear regression, two-way analysis of variance (ANOVA), analysis of covariance (ANCOVA) and logistic regression. Use of (STATA) statistical software.
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Find out more about the Academic Integrity module.
- Quiz 1 (25%)
- Quiz 2 (25%)
- Case Study Application (50%)
For textbook details check your university's handbook, website or learning management system (LMS).
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Entry requirements
Prior study
You must either have successfully completed the following subject(s) before starting this subject, or currently be enrolled in the following subject(s) in a prior study period; or enrol in the following subject(s) to study prior to this subject:
Please note that your enrolment in this subject is conditional on successful completion of these prerequisite subject(s). If you study the prerequisite subject(s) in the study period immediately prior to studying this subject, your result for the prerequisite subject(s) will not be finalised prior to the close of enrolment. In this situation, should you not complete your prerequisite subject(s) successfully you should not continue with your enrolment in this subject. If you are currently enrolled in the prerequisite subject(s) and believe you may not complete these all successfully, it is your responsibility to reschedule your study of this subject to give you time to re-attempt the prerequisite subject(s).
Additional requirements
No additional requirements
Study load
- 0.125 EFTSL
- This is in the range of 10 to 12 hours of study each week.
Equivalent full time study load (EFTSL) is one way to calculate your study load. One (1.0) EFTSL is equivalent to a full-time study load for one year.
Find out more information on Commonwealth Loans to understand what this means to your eligibility for financial support.
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