Introduction to Systematic Reviews and Meta-Analysis - ONLINE
3-Day Certified Course
20 - 22 October 2022
Start of Online Exercises: 06 October 2022
This 3-day virtual hands-on workshop provides an introduction to conducting systematic reviews, evidence synthesis and meta-analyses. We will cover how to formulate an answerable research question, perform a literature search, extract data, assess study quality and risk of bias, perform a meta-analysis and report results. The course will be interactive and practical, with a mixture of lectures, hands-on tutorials and computer exercises.
The course is aimed at members of:
- attendees with a basic knowledge of introductory statistics
- suitable for anyone with an interest in systematic overviews, data, analysis, data interpretation, evidence synthesis analysis and flexible approaches to data visualization
- scientists, health care professionals, consultancy organizations and a wide range of industries
- Medical, master and PhD students
Course Language is English. Both native and non-native English speaker scientists are welcome.
THE COURSE COVERS THE FOLLOWING TOPICS:
Day 1: Steps in conducting systematic reviews: Research question (PICO), hypothesis generation, determining the outcome and effect measure to be used, planning and designing the literature search strategy and systematic review, eligibility criteria, Cochrane collaboration.
Day 2: Conducting systematic reviews and steps in conducting meta-analysis: PROSPERO, review protocol, data sources (published and unpublished studies), study selection process, data extraction, study quality and risk of bias, selecting the statistical model (fixed or random effects model).
Day 3: Conducting meta-analysis and role of meta-analysis in health technology assessment: Conducting a meta-analysis for dichotomous and for continuous data, assessing and managing heterogeneity, forest plots, subgroup and meta-regression analysis, interpreting, discussing and reporting the findings, role of meta-analysis in health technology assessment.