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

4.8
stars
3,250 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.

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751 - 775 of 854 Reviews for Introduction to Systematic Review and Meta-Analysis

By krishna k

Jan 1, 2021

At the end of the course , a small practice to conduct a systematic review should have been there.The course must focus more on the systematic review part per se ,rather than basic biostatistics part .

Thanks.

By Ashley L T

Jan 15, 2020

Really excellent information. Would have appreciated more basic discussion of statistical concepts, or a link to resources for those not as familiar with them or without a background in epidemiology.

By Aya A O

Jan 9, 2018

This is a good introductory course to how and why systematic reviews are performed. I would have liked to have one assignment at the end to try and apply it ourselves but all in all great course !

By Asad U H

Apr 17, 2020

It must include some basics for Statistics involved in Meta analysis, other new students joining from world because they did not study this in their Epidemiology classes in their universities.

By Catia M R P

Aug 10, 2016

The course is a good introduction to the topic, however, it is a pity that there is no follow up to the course. At the end of the course you will not be able to perform a SLR + meta-analysis.

By aya a

Mar 24, 2023

The course is wonderful, but I hope it can be improved and speak more in detail about the statistic in the meta-analysis such as meta-regression and meta-analysis for observational studies

By M. R R

May 30, 2020

I feel like it needs some updating to make it a little bit deeper and broader. I also recommend to make calculation section more understandable since most of us have forgotten mathematics.

By Wong M W

Oct 16, 2020

GOOD COURSE, INSTRUCTORS PROVIDE A CLEAR PICTURE TO ILLUSTRATE THE CONCEPT OF SYSTEMATIC REVIEW, AND META ANALYSIS. THE WEAKNESS POINT IS THIS COURSE DO NOT PROVIDE SOFTWARE APPLICATION.

By Benjamin A

May 25, 2019

This course helped me get started with my first ever systematic review paper. I hope to become better with my research career as I put to use the knowledge derived from the course.

By Rosa d B

Dec 16, 2018

It is a good basic course to learn to understand the ins and outs of a SR and MA. Although I think the course needs an update at some specific topics like 'searching the evidence'.

By Jose F M

Aug 25, 2020

Very good, but although it says "introduction", I was hoping for a little more deep content in the database search part and also more details on how to register the protocol .

By Kitiyot Y

Dec 11, 2020

This course introduces the fundamental concept for meta-analysis effectively. The target audiences of the course might be anyone who is new and interested in meta-analysis.

By Ow K W

Feb 18, 2023

Good introductory course, I believe a follow up course on further advanced methods would be beneficial. Also talks could cover more on practical methods of data synthesis.

By DivyaBhavani

Jun 28, 2020

Sir please provide the certificate because you didn't mentioned in the earlier that certificate should be purchased..after completing everything it is asking to purchase

By Fabian M

Jun 29, 2021

I really enjoyed this course, the instructions were great, the presenters were great, the knowledge gained will no doubt assist in my professional life.

By Bikash P

Jun 5, 2020

A very concise course for learning basics of systematic review and meta-analysis. However, basics of meta-analysis statistics can be further improved.

By Beatriz V

Mar 16, 2020

Good course. Teachers give great resources and you can learn some basic principles of sistematic reviews. Great start in this field if you are curious!

By Rohit R D

Dec 31, 2019

Self explanatory course for a nerd audience with great examples detailing each features and exercises to deal on your own. Worth taking the course.

By Lindsey R

Jun 15, 2017

Logically designed, easy to follow and very informational. The meta analysis component is a little dry but still insightful. Overall, great course!

By Sailaja V M

Mar 3, 2023

Amazing course! Instructors are eloquent, informative, and organized. I look forward to participating in more courses at Johns Hopkins University.

By Ramprasad M

Apr 2, 2020

Good structured course on systematic review and meta-analysis. Really advanced my knowledge on how to do and review SRMs. Kudos for the team work.

By ABEBE B B

May 26, 2020

It was very constructive course. I am waiting forward to see your practical course on systematic review and meta-analysis. Thank you very much!!!

By Rahaf N A

Feb 21, 2021

informative course ,my note is a wish they show us much more aspects with less statistics discussion bc there is a software can do all of that .

By AMIT P

Nov 11, 2016

It was comprehensive and worth course to take upon. I would recommend to add course about detailed methodology behind conducting meta-analysis.