A workshop on “Meta-analysis as a tool in literature review” will be given later in this term by Dr. Marcin Baranski of the University of Life Sciences, Warsaw.
Dr. Baranski (https://www.researchgate.net/profile/Marcin_Baranski) has several publications focused on meta-analyses and is currently involved in the following two projects:
- Ekhagastiftelsen project 2018-1: Promoting human health and well-being by maintaining matrix related organic food qualities from field to fork.
- Erasmus+ Strategic Partnership, 2018-1-PL01-KA203-051124: Transformation of European Food Systems towards Sustainability by Transnational, Innovative Teaching (TEFSI).
The workshop will be held on Nov 13, 14, and 15 from 9:00 – 12:00. Please review the workshop details below. If you are interested in attending, please complete the information at Meta-Analysis Workshop Registration. Your response is needed by Oct 31, 2019.
If you have further questions, please email email@example.com
Workshop: Meta-analysis as a tool in literature review
For who: Senior undergraduate and graduate students. Please note that enrolment will be limited to 20.
Pre-requisite: Completion of an introductory statistics course ( e.g. LFS 252, FRST 231 or equivalent)
Topics covered will include:
- search and meta-analysis,
- fixed vs random effects model,
- statistical heterogeneity of the data,
- publication bias,
- critical appraisal in evidence synthesis,
The workshop will have practice and ‘homework’ including:
- introduction to R statistical software,
- meta-analysis protocol writing,
- dataset inspection and problems solving,
- conducting meta-analysis in R using various methods and visualisation of the results,
- designing meta-regression,
- inspecting for publication bias,
- assessing of the strength of evidence
Workshop format – 9:00 – 12:00, on three consecutive days
Day 1: Theoretical background on importance of systematic literature search and meta-analysis, steps in meta-research, the citation universe through scientific literature database Web of Science, search phrase composing.
Practical tasks: participants choose a meta-analysis topic, select key words for a search, run a search in Web of Science, report a number of identified references, screen through a couple of pages and select relevant publications.
Day 2: Theoretical background on fixed vs random effects model in meta-analysis, statistical heterogeneity of the data, meta-regression, publication bias, sensitivity analysis, critical appraisal in evidence synthesis, introduction to R statistical software.
Practical tasks: participants download and install R software and conduct basic data management and calculations.
Day 3: Theoretical background on dataset inspection and handling, problems solving, meta-analysis in R using various methods, visualisation of the results, meta-regression, meta-analysis protocol writing.
Practical tasks: dataset inspection, meta-analysis and heterogeneity calculations, detection for publication bias, assessments of the strength of evidence.
Christine Scaman PhD
Associate Professor, Food, Nutrition and Health
The University of British Columbia | Vancouver Campus | Musqueam Traditional Territory
Room 247, 2205 East Mall | Vancouver British Columbia | V6T 1Z4 Canada
Phone 604 822 1804 | Fax 604 822 5143