Chevron Left
Back to Introduction to Systematic Review and Meta-Analysis

Learner Reviews & Feedback for Introduction to Systematic Review and Meta-Analysis by Johns Hopkins University

4.8
stars
3,396 ratings

About the Course

We will introduce methods to perform systematic reviews and meta-analysis of clinical trials. We will cover how to formulate an answerable research question, define inclusion and exclusion criteria, search for the evidence, extract data, assess the risk of bias in clinical trials, and perform a meta-analysis. Upon successfully completing this course, participants will be able to: - Describe the steps in conducting a systematic review - Develop an answerable question using the “Participants Interventions Comparisons Outcomes” (PICO) framework - Describe the process used to collect and extract data from reports of clinical trials - Describe methods to critically assess the risk of bias of clinical trials - Describe and interpret the results of meta-analyses...

Top reviews

MJ

Jan 7, 2019

Although introductory, I do carry out reviews as a researcher. I Learned a lot to improve my systematic reviews through this course. High quality, though the music could be a little less intense.

PS

Aug 22, 2019

Introduction to Systematic Review and Meta-Analysis course is a very good source for beginners which provides an overview on fundamental terminology and steps involved in the systematic review.

Filter by:

876 - 879 of 879 Reviews for Introduction to Systematic Review and Meta-Analysis

By Omir A

Oct 6, 2018

Need more explination in real website, and explination of terms

By Rebecca L

Jun 5, 2020

I thought it wasnt that great quality.

By Dr. R S P R

Jul 28, 2024

This is an awfully designed course. How could coursera have such a junk content? Waste of 13+ hours, could have been done in 1 hour. There was no hands on or worked examples, only so boring outdated textbook contents. Not even one example of how to do systematic review and meta analysis (some other courses in coursera are far better designed (though not best) with a lot of practical teaching: see for example: Introduction to Statistics & Data Analysis in Public Health and related three courses from Imperial College London). Many of the contents are technically wrong. Someone says "to see if P-values were statistically significant or not"! The videos are too lengthy and highly repetitive. And the music in them are awful and off putting. Those from the field videos are meaningless and useless. I could have written more, but In fact, this course does not deserve my lengthy review. I was not expecting this low grade content from the Johns Hopkins.

By Gayatri D

Sep 13, 2022

i recorrected my assignment but still they didnt review my submission

my hardwork is lost