it maybe better as introduction to be shorter so we no one gets confused or lost. I think this course is more that introduction. However, it was interesting, I enjoyed the course during the quarantine :)

Thank you all

This course is highly informative, but the focus on health sciences/medical research is very overwhelming for those who are not in the medical field. integrating other examples for social scientists would be helpful.

Great course for a start!

A prerequisite is a general knowledge in clinical research and some epidemiology.

Has a lot of details, and one definitely has to revise it as they go along building their research paper.

The course is a general look at what a metanalysis means and what it's components are. It's in no shape or form enough knowledge to help you actually write a metanalysis BUT it can put you on the right track.

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.

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.

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 !

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.

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.

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

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.

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.

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.

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'.

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 .

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.

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.

it's a good course but in some topics , the presenter consider the students in moderate level so it doesn't considered as introduction especially in meta-analysis section

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

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

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

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!

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

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