Intermediate Biostatistics in Epidemiology


The aim of the course is to extend the range of statistical methods available to the student, prepare the student for relevant computerised data analyses (using Stata) and to enable the interpretation of results using material from the modules and textbook.


WebLearn GradSchool

  • Semester 1 - 2015

Learning Outcomes

1. To expose students to a number of methods commonly used and encountered in the medical literature;

2. To allow students to gain experience in use of these methods using a statistical package;

3. To teach students the philosophy and practice of the regression approach to data analysis;

4. To link traditional methods of data analysis with more modern regression based methods.


Topics covered include likelihood and poisson, logistic and Cox's regression.

Module 1 Linear Regression

Module 2 Logistic Regression

Module 3 Poisson Regression

Module 4 Proportional Hazards (Cox) Models

Assumed Knowledge

BIOS6910 - Biostatistics A; BIOS6920 - Biostatistics B

Assessment Items

Written Assignment: Assignment 1

Written Assignment: Assignment 2

Written Assignment: Assignment 3

Written Assignment: Assignment 4

Contact Hours

WebLearn GradSchool

Online Activity

Online 2 hour(s) per Week for Full Term


Online 2 hour(s) per Week for Full Term