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Overview

This course is offered in two modes: either face to face (on-campus) and fully online. Sophisticated modelling techniques are essential for the analysis of real-world health data. Building on Health Data Analytics: Statistical Modelling I (HDAT9600), this course expands the statistical toolkit and broadens students' understanding of relevant statistical approaches … For more content click the Read More button below. Topics covered in this course include multilevel models for hierarchical data; analysis of time series and longitudinal data; causal directed acyclic graphs (DAGs) and quasi-experimental approaches to inform causal analysis of observational data; and multiple imputation for missing values. Content is delivered through a combination of online readings, expert guest lectures and practical hands-on tutorials. Statistical concepts are illustrated with a variety of health examples, and students will learn how to implement methods using leading statistical software.

Conditions for Enrolment

Prerequisites: HDAT9200 AND HDAT9600

Delivery

Multimodal - Standard (usually weekly or fortnightly)

Please note that the above delivery information is an indication on how this course may be delivered within the year.  Delivery mode(s) for each term can be viewed on other sources such as myUNSW and class timetable site.

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Course Outline

To access course outline please visit below link (Please note that access to UNSW Canberra course outlines requires VPN):
HDAT9700 Course Outline

Fees

TypeAmount
Commonwealth Supported Students (if applicable)$1038
Domestic Students$4170
International Students$5250

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Commonwealth Supported Students:

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Where a Commonwealth Supported fee is displayed it does not guarantee that such places are available.

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)
Pre-2019 Handbook Editions