An introduction to the key aspects of clinical research such as designing a research question, drafting an analysis plan, understanding the regulatory environment we operate in and more.
This course is only open to Melbourne Children's employees.
A comprehensive introduction to the most commonly used methods of statistical analysis in clinical research, with an emphasis on the key underlying concepts and the interpretation of statistical findings including an introduction to the basic principles involved in determining the number of participants that need to be included in a quantitative study.
Introduction to Causal Inference and Regression - This course now fully booked; repeat offerings will be announced ASAP.
This two day course provides a comprehensive introduction to key causal inference concepts, with an emphasis on analysis planning to strengthen the quality of causal inferences we make from data, in particular when using regression methods.
This course takes a look at many aspects of managing research project data throughout the life of a project, from designing a database for capturing good quality data, through to cleaning data and preparing it for analysis.
The course is delivered as a classroom session on the first day, followed by the My Data Rules hands-on session on the second morning.
You have collected your research data. How do you make it ready to use in your analysis?
This half day course is a hands-on session in a computer lab. Participants will work through a recipe for converting raw data into clean datasets that can support robust, reliable and reproducible research results.