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; quasi-experimental approaches for drawing causal inferences from observational data; multiple imputation for missing values; and simulation approaches for study planning and model evaluation. 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. Lectures are followed by weekly exercises, which reinforce the learning and programming skills covered in the face-to-face tutorials.

Conditions for Enrolment

Prerequisites: HDAT9200 AND HDAT9600

Delivery

In-person - Standard (usually weekly or fortnightly)
Fully online - Standard (usually weekly or fortnightly)

Course Outline

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

Fees

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)