Me gustó el curso, solo que al final, me perdí. Desde que empezó con el meta análisis.

Great content, but not delivered in a very dynamic manner so hard to stay attentive.

need more developement on network meta analysis, etc..

It's good but I felt bored in some lectures !!!

Important in medical practice

there was no notes

Talking about bias!!! if you are interested in learn about meta analysis but you comming from a field different to medicine or epidemiology this is not your course, GET OUT. For the statistics they explain very, very few, and at the end didn't include the information nesseary to fully understand meta analysis data. Also, only took into account some estimations (ORs and RRs in RCT) but nothing on regression in meta analysis or network MA. The instructors mention the following introduction of softwares that never introduce at the end. I'm Marine Biologist looking to learn about meta analysis and this course was bellow my expectations. I do understand that for the epidemiologists or health care carreers it could be a perfect course, but then it would be recommened narrowing the scope on the title or the description if ther don't want to brind a wider approach on the topic. The instructor seems that they are expert on their field but from people for other disciplines it is very complicated get a good grip of the content of the course.

Need more explination in real website, and explination of terms

I thought it wasnt that great quality.

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 There was no hands on or worked examples, only so boring outdated textbook contents.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.

i recorrected my assignment but still they didnt review my submission

my hardwork is lost