CEBU research methods and software training

Discover a comprehensive range of short courses in clinical and population health research methods, featuring key principles and basic statistical methods, workshops on data management, and computer-based courses on recommended software tools (Stata, R and REDCAP).

University of MelbourneAs a core component of its role as a partnership in research methods support between MCRI and the University of Melbourne, the Clinical Epidemiology and Biostatistics Unit (CEBU) delivers a program of short courses in the methods of clinical and population health research, including conceptualisation, design and statistical analysis. The courses are practically oriented, with much of the work done in small groups working on realistic examples. The Research Methods courses teach the core concepts of how to design and analyse a research study that involves recruiting human participants, collecting (quantitative) data on them, and analysing those data. Additional courses in software tools for data management and analysis (REDCap, Stata, R) provide the basic tools needed to conduct a research study.

The core sequence of three Research Methods courses should be taken in sequence, because they build explicitly on each other. A timetable for all our courses can be found here.

Course timetable


Research methods courses

This series of three courses begins with the development of research questions and study design, then provides a solid introduction to the core concepts of biostatistics, and finally covers the key elements of observational studies including an introduction to regression methods.

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Computer software courses

Complementing the research methods program, these courses provide hands-on training in recommended computer software tools, firstly for establishing sound and reliable data capture and management systems (using REDCap) and secondly for data manipulation and analysis (using Stata or R).


Related resources

Data management and statistics resources

Resources for researchers compiled for the Clinical Epidemiology and Biostatistics Unit

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