Systematic reviews and meta-analysis
The professor and epidemiologist Bright Nwaru will help the participants to understand the motivation and grasp the rudiments of systematic reviews and meta-analysis in medicine and healthcare, and plan and carry out their own systematic reviews and meta-analysis.
The course will be delivered online between 08 and 12 November, 2021.
Open for applications
06 Sep – 08 Oct 2021
Elegibility conditions
The course will be delivered in english. Tutoring is participatory, with hands-on practical sessions that allow participants to implement the skills learned.
It is requested to read the following documents:
- Systematic Reviews: CRD’s guidance for undertaking reviews in health care. Centre for Reviews and Dissemination, University of York, 2008. pages 3-14. https://www.york.ac.uk/media/crd/Systematic_Reviews.pdf.
- Cochrane Handbook of Systematic Reviews of Interventions. Version 5.1.0, 2011, John Wiley & Sons. https://handbook-5-1.cochrane.org/
Application form
Systematic reviews and meta-analysis
Decisions in healthcare and policy depend on the highest available evidence. Systematic reviews and meta-analyses rank highest in the evidence hierarchy in informing such important decisions. Over the last decade, their use in different fields of inquiry has rapidly grown in length and breadth. In this course, participants will be taken through the rudiments of conducting systematic reviews and meta-analyses, covering all stages of the review process, including question formulation, study identification, data extraction, quality appraisal, meta-analysis, and many more.
Course outline
08 – 12 Nov, 2021
Teacher
Bright Nwaru is an associate professor of epidemiology at the University of Gothenburg, Sweden. His research focuses on the epidemiology of respiratory diseases and allergy, including asthma and COPD, through which he collaborates internationally. He has keen interest in data science and application of population and clinical data in addressing important research questions in his areas of interest. He teaches courses in epidemiology, research methods, science capacity building and career development. He is an ardent supporter of reproducibility in scientific research.