Biostatistics for Population Health Practice

Course aim

To provide students with a solid foundation in statistical methods including exposure to, and use of statistical software packages required for population health research practice.

Course content

Exploratory data analysis (exploring data with graphs, descriptive statistics); common probability distributions and their applications; categorical data; chi-square distribution and analysis of frequencies (point and confidence intervals estimation, hypothesis testing and chi-square test, relative risk, odds ratio and Manta-Haenszel test); continuous data (estimation, transformations, categorical predictors: ANOVA, quantitative and categorical predictors; multiple regression models, general linear models); binary and count data (logistic regression and poisson regression, generalized linear models); path analysis (mediation and moderation models); time to event data (survival curves, cox regression models).

Textbook(s)

Nil

Prerequisite(s)

Nil

Corequisite(s)

Nil

Teaching method

Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.

Assessment

Assignment, Presentation, Quiz

Fees

EFTSL*: 0.125
Commonwealth Supported program (Band 2)
To determine the fee for this course as part of a Commonwealth Supported program, go to:
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Fee-paying program for domestic and international students
International students and students undertaking this course as part of a postgraduate fee paying program must refer to the relevant program home page to determine the cost for undertaking this course.

Non-award enrolment
Non-award tuition fees are set by the university. To determine the cost of this course, go to:
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Not all courses are available on all of the above bases, and students must check to ensure that they are permitted to enrol in a particular course.

* Equivalent Full Time Study Load. Please note: all EFTSL values are published and calculated at ten decimal places. Values are displayed to three decimal places for ease of interpretation.