Course content
- Quick Overview of Theoretical and Practical Foundations of Meta-Analysis of Interventional Studies and Its Subcomponents, Including Topics that Have Been at the Forefront of Attention by Editors, Reviewers, and Journals in the Last 3-5 Years!
- Quick Overview of STATA Software Commands/Syntax for Meta-Analysis of Interventional Studies
- Quick Overview of R & RStudio Software Commands/Codes for Meta-Analysis of Interventional Studies
- Learning the Theoretical Foundations of Direct vs Indirect Comparison as the Basis of Network Meta-Analysis
- Main Assumptions of Network Meta-Analysis (NMA) and Explaining Them
- The Theoretical Foundations of the Two Common Approaches in Network Meta-Analysis: Frequentist and Bayesian, and Their Practical Applications in Real-World Conditions
- Step-by-Step Instruction of Network Meta-Analysis Along with Necessary Commands and Codes in R & RStudio Software, Including Multiple Practical Exercises
- Various Output Plots in Network Meta-Analysis and Their Practical Applications
- PRISMA-NMA Writing Guidelines for Writing Systematic Review and Network Meta-Analysis Articles and Explaining Its Subcomponents/Items