Meta-research short course

The purpose of this course is for students to understand the principles of meta-research and to develop skills in relation to research synthesis, meta-analysis and assessment of bias in biomedical research.

The course faculty comprises members of world-class reputation from Imperial College London, University of Edinburgh and leading institutions worldwide. There will be ample opportunity throughout the course to interact with the faculty, discuss your current research projects and receive feedback.

The course will consist of lectures introducing the theoretical concepts which are subsequently illustrated by a keynote lecture and a practical session.

For any questions please email i.tzoulaki@imperial.ac.uk.

Course objectives

1. To understand the principles of meta-research
2. To conduct and interpret research syntheses applied to different biomedical research domains
3. To understand and apply methodologies to identify and quantify biases in biomedical research
4. To critically appraise the published literature and the reporting of results, and to be able to identify best practices
5. To understand what is and what determines reproducibility in biomedical research

Target audience

This short course will be of interest to academics (students, and researchers), and scientists from the industry (pharmaceutical companies, insurance companies, food industries etc.) who are interested in applying state-of-the-art meta-research skills.

Fees

Early bird registration (until May 31st, 2018)
Student: £500
Academic: £600
Non-academic: £900

Standard registration
Student: £650
Academic: £750
Non-academic: £1100

Course directors

Dr Ioanna Tzoulaki, Reader in Epidemiology, School of Public Health, Imperial College London
Dr Evangelos Evangelou, Senior Lecturer in Epidemiology, School of Public Health, Imperial College London
Dr Evropi Theodoratou, Reader, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh

2017 faculty

Prof John PA Ioannidis, C.F. Rehnborg Professor in Disease Prevention in the School of Medicine and Professor of Health Research and Policy (Epidemiology) and, by courtesy, of Statistics and of Biomedical Data Science 

Prof Julian Little, Professor, Canada Research Chair in Human Genome Epidemiology,  School of Epidemiology and Public Health, University of Ottawa, Faculty of Medicine

Prof Malcolm MacLeod, Prof of Neurology and Translational Neurosciences, Centre for Clinical Brain Sciences, University of Edinburgh

Prof Karel G.M. Moons, Professor of Clinical Epidemiology, Julius Center, UMC Utrecht

Dr Kostas Tsilidis, Senior Lecturer, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London

Prof Steff Lewis, Personal Chair in Medical Statistics, Edinburgh Clinical Trials Unit, University of Edinburgh

Professor Evangelia Ntzani, Assistant Professor in Epidemiology, University of Ioannina Medical School & Adjunct Assistant Professor of Health Services, Brown University