Course 4: Systematic Review and Meta-analysis
Goals of the research course?
- Preparing protocol and search strategy
- Screening, Extraction and Quality Assessment
- Introduction to Meta-Analysis
- Advanced Meta-analysis
- Common mistakes and how to avoid them
Dr. Muhammed Elhadi, MBBCh – Faculty of Medicine, University of Tripoli
This course will explain the concepts and practical aspect of systemic review and meta-analysis. The course will explain the main steps you will need to conduct systemic review and meta-analysis, such as: developing a research question, writing and registering protocol, develop search term, searching the literature and scientific database, screening and identifying eligible articles, how to develop extraction sheet, how to extract data and prepare it for analysis, how to conduct manual searching, and quality assessment for RCTs and observational studies. The course will then help you set up your data for meta-analysis, choose a suitable statistical method depending on your data, construct a funnel plot for publication bias, subgroup analysis, meta-regression, and sensitivity analysis. The course is practical 100% with real examples and software instructions to help you master these concepts. The course will also help you to write your meta-analysis results and how to prepare systemic review and meta-analysis article for submission.
COURSE DETAILS
Course Duration
Approx. 2 months
Course Price
450 LYD / 100$
Course Level
Beginner
Course Description
By the end of the course, you will learn:
Introduction
- Introduction to Systemic reviews and meta-analysis
- The shift from narrative reviews to systematic reviews
- Main steps of systemic reviews and meta-analysis
- Formulate research question and ensure originality of your idea (PICO)
- Developing criteria for systemic review
- Prisma Statement 2020
Preparing protocol and search strategy
- Writing protocol and registering the protocol in PROSPERO
- How to develop search terms for each database
- Searching in literature and scientific databases
- Search in Pubmed
- Search in Scopus
- Search in Embase and Medline (OVID)
- Search in VHL
- Search in Cochrane Library
- Search in Web of Science
- Search in ClinicalTrials.gov
- Search in New York Academy of Medicine (NYAM)
- Search in System for Information on Grey Literature in Europe (SIGLE)
- Search in Google Scholar
- Search in CINAHL
- Extract search results using Endnote and Removing Duplicates
- PRISMA – Flow Diagram
Screening and Extraction and Quality Assessment
- Introduction to Screening & Extraction
- Initial Screening and identifying eligible articles for inclusion
- Full text download
- Full text screening
- How to develop extraction sheet
- How to extract data
- Quality assessment of studies
- Quality assessment of RCTs by Cochrane Risk of Bias Tool (ROB 2)
- Quality assessment of non-randomized studies of interventions by ROBINS
- Quality assessment of observational studies by Newcastle-Ottawa Scale (NOS)
- Manual searching
- Baseline Characteristics Table
- Data Cleaning Before Doing Analysis
- Some calculations for missing or non-reported data
Introduction to Meta-Analysis
- Introduction to Meta-analysis
- Some Definitions
- Interpretation of forest plots
- How to choose an effect‐size index
- Effect Sizes Based on Means
- Effect Sizes Based on Binary Data
- Effect Sizes Based on Prevalence
- Fixed-effect and random-effects models
- Heterogeneity
- I2
Publication Bias
- Publication bias
Advanced Meta-analysis
- Subgroup analysis
- Sensitivity analysis
- Meta-regression analysis technique: concept, procedures, and interpretation
Writing Up
- How to write and prepare a systemic review and meta-analysis paper
Examples and Issues in Meta-analysis
- Critical conceptual issues in meta-analysis
- How to avoid common mistakes in meta-analysis
- Meta-analysis examples (workshop)
Key Features
Practical
Comprehensive
Interactive
Final Exam
Completion certificate
Firstly, you have to make an account in Teach Me Research:
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Before you buy it, contact us to use MD Guidance discount code through our email:
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