Event

Presented by: Thao Le, Ronald Geskus, Julie Simpson, Megha Rajasekhar and Rory Wolfe

This course provides an introduction to prognostic modelling in the context of health care research. It covers important principles for model development, internal and external validation, and the use of machine learning methods in model building. Computer practicals will be in both R and Stata. Upon completion of the course, participants will be familiar with the main approaches to developing and validating new prediction models in health and will have an understanding of how to implement the methods in widely used statistical software. This course is suitable for participants who are already familiar with commonly-seen statistical concepts and methods including multivariable regression models such as gained from statistics units in a Masters of Public Health.

Prerequisites: Participants should be familiar with one of R or Stata, e.g. able to create new variables, run regression commands and obtain basic plots.

This event will be held in person and online via Zoom. 

Registration is now open via: https://shop.monash.edu/vicbiostat-2024-summer-school.html

Registration prices