Intermediate Biostatistics in Epidemiology

10 Units

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.

Faculty Faculty of Health and Medicine
School School of Medicine and Public Health

Not currently offered

Learning Outcomes

On successful completion of this course, students will be able to:

  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


{cf_location_contacts_delivery_mode} {cf_location_contacts_session_count} {cf_location_contacts_session_time} {cf_location_contacts_frequency} {cf_location_contacts_duration}

Timetable 2016 Course Timetables for BIOS6940
Got a question?

Contact us for advice on how to apply, enrol, or for more information.

Ready to start?

Once you’ve read our Application guide you’re ready to apply