You seem like a nice guy. Are all aussies like that?

where is the ci dataset

Wasn't expecting one of my favorite podcast's hope to be doing my R tutorial

I am so desperate to try this . Due to childhood trauma.( Child Separation at birth ) ADHD and severe avoidant attachment isses . And a DNA test that came back rs53576 a/g at 3 times more likely

This is not accurate information. Testosterone does not raise oxytocin, it does the opposite. It suppresses the receptors and can decrease oxytocin. This can explain why many men are not into cuddling after intimacy.

Thx for the video. I will make sure to forward this to my colleagues who need to get familiar with the topic. PS This would be a great "The Startup Scientist" episode ;)

First of all, thank you for the video, Daniel! I have a question tho regarding the dependent effect sizes. As you demonstrated, it is possible to account for this dependency using the robu() function, but what should the workflow look like? How should I follow up with other procedures such as finding the influential studies, plotting a forest plot, test for bias and so on? Or do I do the meta-analysis as if all the effect sizes are independent and only use the robu function to see if the results are robust? Thank you in advance for your time!

Very good lecture!

Thank you for creating this video. Great a supplement to textbooks!

Fascinating! I just started an Rx for IN oxytocin and must say the difference is remarkable; 6IU doses seem to keep my glial cells from chattering with each other!! LOL Thank you for your efforts. Over two dozen concussions have made my nervous system a bit of a train wreck and oxytocin seems to help (although it could all be in my head! LOL!!)

❤

Dear Daniel, thank you so much for the video. I think it would be better if you take it more specify, e.g., this function is applied to random-effect or fix-effect model. Because the function for these 2 model is different and the result will also be varied a lot.

great Job! Dani

Hey, thank you for your video. I was planing on using Hedge's g random effects for my meta-analysis, and the data I am using is pre and post therapy outcome measures. What data do I use when conducting a mean difference analysis on Jamovi when the data is pre and post therapy outcome measures scores for a intervention group and control group? Do I figure out the mean difference for the intervention and the pooled standard deviation and then use that?

can i join research with you? im interest in meta analysis research

Hi Daniel, thanks for the tutorials. what is the appropriate test for sample size calculation for multiple proportion comparison?

I'm an Otrivin addict, does that have something to do with it?

the analysis of mean differences, which statistic do you use, is the d? or do you only talk about the meta difference mean differences. Thanks for the video, it was very helpful!

Hi Daniel. Thank you or the very informative and helpful video. It took away many of my doubts 😊. Can I ask you please, have you got a video about conducting a meta-analysis using confidence intervals? Also, in this video you said that study 3 had an effect size of .23. Could you be more specific please? In the forest plot it shows -2.32. Were you referring to the first 2 digits? Thank you, Marcus.

Dr. Najeeb’s teaching methodology was really good and so helpful! I Love hearing about the human body and the way it operates and this makes so much more sense now. I’d Love to be in his class and listen to his observations and explanations for different parts of the body!! So exciting! kzbin.info/www/bejne/sGKmonmNd7tneJosi=BOPK2c20_VmEfEkP

She was lovely wasn't she.

Hi, thank you for your video. Does Jamovi support meta analysis for response ratios (ratio of means)?

Great video thanks for sharing. It's amazing what you can learn with easy explanations!

Really informative content - thank you very much. Do you have anything more on the 'small telescopes' approach - I haven’t seen this before?

Hello, is there a way to plot the moderator analyses? Thanks!

Can meta-analysis in jamovi be used specifically for SEM research (MASEM)?

Paid $148 for a bottle from a large compounding lab. Nothing. Just saline in my opinion. Placebo BS.

surprised no comment here, great nuggets, thanks mate!

How do you calculate the standard deviation for the final weighted mean difference as presented in a meta-analysis (forest plot)? [for the purpose of estimating sample size in G power]

Hello, Is there any other library for Engineering sciences in R?

Seems like much a do about nothing… i have oxytocin 50mcg per spray…but i dont feel much relief from it… its more placebo, and maybe a tiny bit makes u feel better, but, ur better off taking a gabapentin or something stronger. Ive done 3-4 sprays per nostril, but barely feel anything. Try it yourself and see. Dont talk about it, be about it, then talk

Excellent video Daniel, thank you so much for detailing the code, data and rationale behind the analysis/method

Have you considered share this work as a DataCamp Project? I study R programming using DataCamp and I wonder would be received as an interesting exercise in the community, i've never seen a project on meta analysis.

Great tutorials! Thanks for your explanation of MA. 7:30 in the first video, I wonder how to explain the size of the square, is it representing the weight of each study?

Is it in tablets form? Thanks

You're the boss! Thanks a lot.

Hi, thank you for your videos! They have been extremely useful. In a different video you say that the weight function attributes more weight to studies that are less likely to be published (p>0.05) and less weight to those more likely to be published (p<0.05) thus balancing them for the adjusted function. However, I got the idea from other sources of information that it does the opposite. That it imprints the publication bias mechanism into the function by attributing more weight to the more likely to be published (p<0.05) and less weight to the less likely to be published (p>0.05). This way, if the adjusted function is a better fit to our data it actually means that we might have publication bias. Can you comment this please? Am I misinterpreting your last video?

do you know how to resize your profile picture/avatar?

Great paper and video thaks for providing the code.

Thank you very much for this tutorial on MA and adjusting for publication bias!

Hello, Daniel. Thank you for the video. It's really helpful.

Thank you for the video! It was a really nice primer. As I am preparing to analyze some heart rate data at the moment, you video and papers will come in handy. Now a practical question. What are your thoughts on currently available HRV-analysis packages for Python, i.e. PyHRV or HeartPy? In terms of usability, things they can do, and overall impression. Have you or your colleagues used those, and, if so, would you recommend them?

You are so kind😀

Thank you for all your amazing videos! How can I calculate the standard error for the effect size r in R or Jasp?

hey. please share the sample data with the code which it will useful for data understanding.

Is it the part of Network Meta-analysis ?

give 'er

Dear Dr. Quintana, thanks for this very useful video. I just have a rapid question. In the Likelihood Ratio test, is it correct that for rejecting the null hypothesis you need a p-value of below 0.1 (in your example p-value was 0.08 and you said that the test was significant)? Thanks again.

Hi, Daniel. may I ask what you entered at 1:50? I am not sure of the letter (Theme) you entered.