An important function of CEBU and CRDO is to provide a comprehensive range of short courses in methods of quantitative research, including planning and conducting research and basic statistical analysis. The courses do not assume any specific prior knowledge, although Getting Started in Clinical Research, Introduction to Biostatistics and Sample Size are designed to be taken in sequence.
Our program of courses and seminars covers protocol development, study design, data management, basic statistics, project management and Good Clinical Practice. Courses and seminars are designed for researchers involved in any type of clinical and public health research are are taught by statisticians, trialists and clinicians.
We have designed the core sequence of courses as a natural progression for researchers in clinical or public health areas, beginning with Getting Started in Clinical Research and proceeding to EpiData, Introduction to Biostatistics and the Stata courses. The Stata courses are run in conjunction with the School of Population Health at The University of Melbourne. The courses are very practically oriented, with much of the work done in small groups working on specific paediatric research topics, and are designed to equip new researchers with the basic tools needed to conduct a study.
A number of hour-long seminars are run at regular intervals throughout the year (free of charge). Please see the MCRI intranet seminar calendar or the CRDO website for details of the next available sessions. These sessions can also be arranged specifically for your department at times convenient to you. Please contact CRDO to arrange this.
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Introduction to EpiData |
Getting Started in Clinical Research |
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| This half-day course provides hands-on training in the EpiData package, a comprehensive simple tool for documented data entry. Further information Registration Form |
An introduction to designing a clinical study, including development of the research question and appropriate study design, with an emphasis on concepts and practical issues. Further information Registration Form |
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Good Clinical Practice & Clinical Trial Management |
Principles of Data Management |
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| This two day intensive course will teach you why Good Clinical Practice (GCP) is important in clinical trials and how it applies to various aspects of the trial. It will cover investigator-initiated research, sponsored research as well as ethics and regularory requirements. Further information Registration Form |
This course covers concepts of data management focusing on the design and maintenance of a simple database. Further information Registration Form |
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Introduction to Biostatistics |
Sample Size Estimation |
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| A comprehensive introduction to the most commonly used methods of statistical analysis in clinical research, with an exphasis on the key underlying concepts and the interpretation of statistical findings. Further information Registration Form |
Introduction to the basic principles involved in determining the number of participants that need to be included in a quantitative study. Further information Registration Form |
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Introduction to Clinical Trials |
Introduction to Systematic Reviews |
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| An introduction to the design and conduct of trials, providing a thorough overview of skills required to carry out a trial from conception to dissemination. Further information Registration Form |
This session covers the principles of systematic reviews with discussion of the Cochrane Collaboration and methods of meta-analysis. Further information Registration Form |
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Please refer to the prerequisites before registering for these courses.
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Stata I: Introduction to Stata |
Stata II: Data Management & Analysis |
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One and a half days covering the basic minimum required for examining and describing data using Stata. Prerequisites
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One and a half days building on Stata I to cover data cleaning and basic data analysis. Prerequisites
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Stata III: Advanced Tips & Tricks |
Stata Graphics |
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One day course covering advanced data processing and efficient use of Stata. Prerequisites
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