good

good

good

Grea

Good

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OK

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Overall, I enjoyed the course, and as someone who has read systemic reviews but not undertaken them, I feel that I have learned a lot. The course is not perfect - some of the information presented is out of date, with the videos appearing to be at least five years old. Much of the course is underpinned by reviews which determined how to optimize systematic reviews, and it is likely that more is now known than when the videos were made. The age of the course also meant that the quoted sections of the Cochrane Handbook are several editions out of date, and the module on search strategies included screenshots of PubMed's old interface rather than the new 2020 interface. However, the underlying principles for both the Cochrane Handbook and PubMed are the same, so this didn't detract too much from the course. The three instructors had varying presentation styles, with one tending to read every word on the slide. Luckily an engaging speaker delivered the majority of the videos.

Learned a lot about meta-analysis and systematic reviews. Module 8 took it for granted that everyone has had epidemiology and statistical courses that are used in the module. The course is not only for public health students and professionals but also other members of various disciplines.

There should be an optional module on the basics of the statistical procedures for module 8 for non-public health course attendees. This additional (optional) module will facilitate the use of the statistical procedures mentioned in module 8.

Came into the course knowing a fair bit already. The course is a bit dated, using past editions of the Cochrane Handwook and Borenstein's Intro to Meta-Analysis. Nonetheless, I really learned a lot about a process of inquiry that I have had an interest in for decades. The qualitative (bias) stuff I appreciate the most and the historical studies that informed that area of Systematic Reviews . Much more to learn but I don't expect I will regret taking this overview course.

It is very useful course for beginners and although those who have done systematic reviews/meta-analysis before in order to improve their basic understanding. There are few shortcomings with the course:

1- lectures frequently refer to biostat and epidemiology classes, but no reference or links has been provided for these classes.

2- The course ends without any lectures on meta-regression and sensitivity analysis, which is a bit confusing as the module 8 promises such lectures.

I believe the lecture slides would have been more attractive! There was long discussion (sometimes 15-20 minutes) at a stretch which was sometimes tough to concentrate for students whose native language is not English. Course should included how duplicate records after searching from different databases could be done. Still I am convinced to carry on the course! Highly appreciated! It was just amazing to brush up my current understanding of systematic literature review.

This is a great course for beginners who are interested in Systematic reviews and Meta analysis but have no actual training in this area. Learners who take this course should be somewhat familiar with the research approaches and already be exposed to some reading of research studies in the literature, also have some understanding of how the research studies are ultimately used to guide the practical decisions of health care professionals for the benefit of patients.

It is an excellent course for beginners. It explained in detail everything you need to know to get started with systematic reviews and gave enough examples. It also gave a list of references to read further. I know it mentions that is from the health care field- but they could have incorporated examples from other fields as there is no bar to students in other fields to take this course. None the less the course was very useful and planned very systematically.

The content is really useful, well presented, and easy to follow. The peer-reviewed assignments were frustrating because some peer reviewers either did not understand or adhere to the clearly provided rubric (and colleagues of mine who took the same course had similar experiences). But, passing is passing for a non-credit course, I suppose, and I appreciate the knowledge gained from the instructional content.

the course was very professional, yet simple to understand and perfect for beginners and intermediate level researchers. it provided valuable sources for further readings and the peer review assignments, I think should be more than two, because I learn what I learn by applying it carefully for an exam.

thank you for putting this much of an effort to provide this amazing course

I really enjoyed the course and think it was accessible, even to someone coming from other areas. However, in the meta-analysis theme, the pace was to quick and the accent was sometimes difficult to understand. If the discourse could be a little bit slower, maybe it would be more easy to understand, specially because it is one of the most hard parts of the course.

Well matured course that provides a great digest over a very complex topic and is a fantastic gateway to get started on the topic. Don't expect a terribly engaging set of presentations, but it is factually very useful and worth the time for those relatively new to the subject. I found the amount of content easy to handle on the side, while working full time.

It would be nice to have a bit more focus on the statistical techniques used for meta-analysis as there is a very heavy focus on the systematic review portion of the course. Examples for implementing meta-analysis techniques other than just using odds ratio (ex: continuous data of different types - ie: mean +SD or mean + SEM etc.) would be very helpful.

This is a basic level course but covers a lot of ground with regards to systematic review and meta-analysis. I strongly recommend this course for beginners who are looking at starting Systematic reviews and meta-analysis. My personal favorite section is the meta-analysis module! :) The instructors are very clear in articulating their points!

Meta-analysis 101.

This course introduces some basic concepts of evidence-based medicine and meta-analysis. The peer assignments are well designed, which encourage students to read papers critically.

However, practical and advanced meta-analysis skills are not introduced in lectures. Looking forward to future advanced courses!