Course: Systematic Review and Meta-Analysis.
Instructor: Dr. Munshi Naser Ibne Afzal
Batch: 1/A (Sat-Sun)
Course Outline
Class 1: Introduction to Systematic Reviews and Meta-Analysis
Overview: Definition and purpose of systematic reviews and meta-analysis.
Importance: Their role in evidence-based research.
Key Steps: Formulating a research question, protocol, search strategy, and eligibility criteria.
Software Overview: Introduction to MetaWin 3, Jamovi, Excel, JASP, and Comprehensive Meta-Analysis (CMA).
Class 2: Formulating Research Questions and Designing a Protocol
Research Question Development: PICO (Population, Intervention, Comparison, Outcome) framework.
Protocols: The importance of a well-defined protocol using PRISMA guidelines.
Hands-on Practice: Drafting a research question and setting up a protocol.
Assignment: Develop a research question and protocol using an example case.
Class 3: Literature Search and Data Extraction
Search Strategies: Database searches (e.g., PubMed, Cochrane Library) and setting up inclusion/exclusion criteria.
Data Management: Extracting and managing data with tools like EndNote, Rayyan QCRI, or Mendeley.
Hands-on Practice: Conducting a systematic literature search and data extraction.
Software Introduction: Using Excel for organizing and managing extracted data.
Class 4: Introduction to Meta-Analysis with Comprehensive Meta-Analysis (CMA)
CMA Overview: Introduction to Comprehensive Meta-Analysis software.
Conducting Meta-Analysis: Fixed effects and random effects models, heterogeneity, forest plots, and funnel plots in CMA.
Hands-on Practice: Importing data and performing a meta-analysis in CMA.
Assignment: Use CMA to analyze a sample dataset.
Class 5: Performing Meta-Analysis using JASP
Introduction to JASP: Setting up JASP and importing datasets.
Meta-Analysis in JASP: Running meta-analyses, creating forest plots, and interpreting results.
Hands-on Practice: Conduct a meta-analysis in JASP on a sample dataset.
Assignment: Use JASP to perform a meta-analysis on a selected dataset.
Class 6: Meta-Analysis using Jamovi
Introduction to Jamovi: Basics of Jamovi and its add-ons for meta-analysis.
Performing Meta-Analysis: Effect size calculations, fixed/random models, and visualizations.
Hands-on Practice: Conducting meta-analysis using Jamovi.
Assignment: Analyze a dataset using Jamovi and present the results.
Class 7: Meta-Analysis using MetaWin 3
Introduction to MetaWin 3: Overview of the software and its features for ecological and evolutionary studies.
Running Analyses: Meta-analysis with continuous and categorical data, handling variance, and creating summary plots.
Hands-on Practice: Perform a meta-analysis using MetaWin 3 on provided data.
Assignment: Use MetaWin 3 to analyze a sample dataset.
Class 8: Meta-Analysis using Excel
Introduction to Excel for Meta-Analysis: Using Excel functions to calculate effect sizes, variances, and confidence intervals.
Manual Meta-Analysis: Building fixed/random effect models, and creating forest plots and funnel plots in Excel.
Hands-on Practice: Conducting a simple meta-analysis in Excel.
Final Project: Submit a meta-analysis report using any one of the co
vered software (CMA, JASP, Jamovi, MetaWin 3, Excel).
