Thank you for the video , professor. I would like to know whether the "y-axis" of the prediction interval stands for something just as the x-axis shows event rate, risk ratio etc.

How to find the corelation??

Thank you so much! It helped me to gain more insights as I am newbie in this domain.

How to understand the ES of the subgroup is significant in CMA, and to write the confidence interval of the subgroup, which p value will we choose?

Really needed this video thanks for providing this

I’m interested in this course. But can’t seem to find the intensive or advanced on your website. I only see the basic version.

Thank you very much for such a handy application and your effort in educating the meta-analysis. You mention that the effect size should be chosen by the fact that which direction is our favourable. However, there seems to be a mistake. When you choose a single effect direction (for example positive), all the SMDs become positive which clearly is wrong. By the way, I'm using CMA v3.

he mentioned he'd been talking about giving an appropriate weight to each study in another module, does anyone know which module it is?

How do you write the results of the meta regression plot in the manuscript

Can we calculate 95%CI for I square using CMA software? Thanks

Does subgroup analysis means moderator analysis, baring meta-regression?

It seems that the narrator is reading a written script, because I can hear he's turning the pages. This makes the flow a little fast. I really need 100% focus.

48'00- prediction interval

建议以1.25 速度来看

Very helpful. Thank you!

What if the study had only one group

Thank you very much. It is very intuitive

if Tau-squared is 0, do we get any prediction interval? when I run a check on the software, it just shows that studies share a common effect size.. does it mean that there will be no PI available? thanks for all the help

Pure gold! Thank you so much.

Hi Sir, if Hausman test indicates that fixed model is more appropriate than random effect model, and if in that case, in data time period (T) > cross section units (N), which FEM is to be chosen: time (T) FEM or Cross section (N) FEM?

good speaker. so clear.

Can i do a metanalysis for both cohort and case control study in the same analysis Or i should use only one type either cohort or case control?

Might you explain how to report the outcome in the article?

As an MD and clinical researcher for 5 years, i observed that some MDs/physicians really have no/little idea on how to run statistical tests for research (which is understandable since statistics is really not part of the MD curriculum) so they are wholly/partially dependent on their statisticians. There are times also when the statisticians have the right idea / executed the tests correctly but the clinician interpreted the methods and/or results differently. 😅😅😅

How can we save the results of the CMA software results to Microsoft word or any other formats ?

Comprehensive Meta-Analysis 4 is now available everyone! Free upgrade for current CMA3 licenses, reduced prices for past CMA3 or CMA2 users.

❤

Is there any difference between this and a multi-level meta-analysis?

Fake and Fabricated! Bad presentation, and wrong and way off any reasonable analysis. Sad, I was excited

Thankss a lot for sharing this amazing lecture, I learned a lot from this lecture.

Let me add three more to the list: eyeballing funnel plots to determine whether they're asymmetric, treating Egger's test as though it detected publication bias, using trim/fill or PET PEESE on highly heterogeneous studies

Extremely informative video, you are doing God's work in dispersing knowledge for no cost. Thank you

Great!!!!!

Are there videos here that would help with conducting a DTA meta analysis please?

这个视频不断的让我想到了某国的大部分教授们，总是在不断地强调结果是不是显著，怎么巧妙的处理就可以让结果看着更好看……这种模式下学了很多甚至变得“很厉害”成为了“大佬”一头雾水的开始分享怎么做一篇“优秀”文章的经验，sucks。Anyway，这真的是一篇perfect lecture，highest respect for this vedio and the professor！

So why do the majority of studies justify their review by claiming that because I² is low, effect size variations are low? We can further use prediction intervals solely for that reason and avoid making any misleading assumptions about effect size variations. Just read "Basics of meta-analysis: I² is not an absolute measure of heterogeneity., (Borenstein et al, 2017)". Thanks for the video about it too, it was really helpful.

Great video. Need a Mac version of CMA really.

What an absolutely outstanding presentation! Wonderful! Thank you for sharing this.

How do you compare males to females instead of the composite effect size?

Hi, I am struggling to run a metanalysis. It is my first time. I have continuous data with mean, sample size, and standard deviation for each study (without means for control and exposure groups.) Any ideas on the appropriate argument suitable for this type of data?

Only one thing, the example of present costs was much too long.

Thank you very much

Thus great indeed!, One is able to validate based on number of studies, but how can you get access to unpublished studies with all required parameters?

This is very informative and good lecture...

Thank you very much! This was very useful and very well explained! :)

Thank you so much for this much-needed video.. many of the concepts are crystal clear now.. But I have a doubt...how should we interpret very high values of Isquare like more than 90 or sometimes 100? Is there any chance of such results in meta-analysis...

thanks sir

Thank you for your lecture