Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
0 Hour(s) 57 Minute(s)
Language
English
Taught by
Shaju Jacob Pulikkotil
Rating
1 views
Course Overview
An introductory course to understand lucidly the complex science of meta-analysis
Meta-analysis is an important statistical approach to validly combine the results of studies following a systematic review. This course takes you through the concepts of meta-analysis and the various graphical representation required to display the results. A complete understanding of concepts is required to properly interpret the results to the scientific world. The two important types of data, binary and continuous, and their pooled estimates are discussed in simple language with relevant examples for you to understand better. This will form the basis for your understanding to perform the meta-analysis. The RevMan software offered free by the Cochrane Collaboration is a sturdy application to do meta-analysis, with the image quality good for journal publication. The figures generated are standard and comparable to other images from other applications. I personally will recommend this application for beginners in meta-analysis.
Heterogeneity is variations among the studies which are included in the meta-analysis. Understanding the various types of heterogeneity and how it impacts the interpretation of the results from meta-analysis is important. The course also deals with the learning and generation of forest and funnel plots. They are the graphical presentation of data and results displayed in the form of a scatter plot. These plots give a bird’s eye view of the results, their meaning, and interpretation.
Come join this course and take yourself to the next level in understanding and interpreting meta-analysis and become a part of cutting-edge research.
Course Content
- 4 section(s)
- 8 lecture(s)
- Section 1 Introduction
- Section 2 Data Analysis and Estimates
- Section 3 Heterogeneity and Plots
- Section 4 GRADE in Research
What You’ll Learn
- Be able to perform meta-analysis, Be able to use the RevMan Software to do meta-analysis, Be able to explain the various types of heterogeneity, Be able to generate and interpret forest and funnel plots
Skills covered in this course
Reviews
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MMaclaren Suve-Hohora
This course explained one question I had. I still need more explanation on Meta analysis. Especially with subgroup analysis, regression, quality assessment, various other suitable types of Meta analysis software and how to use them. I also would like to know how to identify or find suitable topics to write about for a meta analysis. Your efforts in explaining Meta analysis are much appreciated Sir. Thank you so much!
