![Daniel Quintana](/img/default-banner.jpg)
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Daniel Quintana
Norway
Приєднався 4 гру 2008
Researcher in Biological Psychiatry at the University of Oslo
What are preprints?
I discuss what preprints are, chat about up their pros and cons, and outline how to responsibly cite preprints in your work.
Переглядів: 166
Відео
Making null effects informative using Bayes factors and equivalence tests
Переглядів 195Місяць тому
Publication bias, in which non-significant results are less likely to be published, is a considerable issue for many areas of psychology. At least within a hypothetico-deductive framework, the capacity to falsify a hypothesis is critical for testing predictions. Thus, one contributing factor to publication bias is that traditional frequentist p-values cannot be used to provide evidence for the ...
How to perform a mean difference meta-analysis using JAMOVI
Переглядів 2 тис.Рік тому
I walk you through how to perform a mean difference meta-analysis using the free JAMOVI software package via the 'MAJOR' module. To download the MAJOR module in JAMOVI, follow these instructions docs.jamovi.org/_pages/Install_modules.html The dataset used in this tutorial is included in the MAJOR module. To find it, go to 'Open', 'Data Library', 'Meta-analysis for Jamovi', 'Normand1999 meta-ana...
Improving intranasal oxytocin research by advancing methods, theory, and reproducibility
Переглядів 1,4 тис.Рік тому
The neuropeptide oxytocin has garnered considerable interest for its role in social behavior and its potential for the treatment of psychiatric illnesses characterised by social dysfunction, such as autism. However, initial excitement has largely turned to disappointment with some studies failing to replicate earlier results, which has been attributed to issues related to research methods, mech...
How to calculate statistical power for studies included in a meta-analysis
Переглядів 1 тис.2 роки тому
This a companion video for an article describing the 'metameta' R package, which calculates and visualises statistical power for a range of hypothetical effect sizes. The article: osf.io/js79t The analysis script used in this screencast: osf.io/dr64q/
How preprints can benefit both science and your career
Переглядів 2872 роки тому
In this talk I share how preprints can benefit both science and your career, along with some practical tips on how to get started. I also address some common concerns about preprints, like whether journals accept papers that have been preprinted and if this increases the risk of scooping (Hint: it doesn't. In fact, it *protects* you against scooping). Slides are available here: osf.io/qcv4h/
How open science can boost your career
Переглядів 2862 роки тому
The traditional way of publishing and getting feedback on your work is slow. In this talk, I discuss how open science practices can boost your career by facilitating fast feedback on your work. Slidedeck: osf.io/2tz8n/
Increasing the credibility of meta-analysis
Переглядів 6722 роки тому
Several scientific fields are experiencing a reproducibility crisis, in which hypothesis-driven studies are failing to replicate. Poor reproducibility has been linked to several factors, but some of the most pertinent issues are analytical flexibility and lack of transparency. While these issues are becoming more well-known for primary research, it has received less attention for meta-analysis....
How to calculate the statistical power of studies included in a meta-analysis using R
Переглядів 9982 роки тому
Several methods exist for assessing study quality in meta-analysis, but these are typically discipline specific. One approach used across disciplines to assess the evidential value of an individual study is to calculate its statistical power, which can identify the range of effect sizes that can be reliably detected. Studies with low statistical power are more likely to yield false positives an...
Applying open science practices to clinical research
Переглядів 4243 роки тому
In this talk delivered to the Open Science Initiative Luebeck, I discuss the benefits of applying open science practices to clinical research, and how you can create openly available data sets that allow others to reproduce your results while maintaining participant privacy via synthetic datasets. Download the slidedeck here: osf.io/j7bhy/
How to perform a meta-analysis in R
Переглядів 42 тис.3 роки тому
This is a non-technical walkthrough of how to conduct a gold-standard correlational meta-analysis in R. This is a re-recording of a video that I posted a few years ago, but with better audio quality. I also include two new tools that weren't included in the original video: 1) Weight-function models to directly assess the risk of publication bias (because funnel plot asymmetry is not a direct te...
Rethinking oxytocin's role in our thoughts, feelings, and behaviours
Переглядів 3,6 тис.3 роки тому
Rethinking oxytocin's role in our thoughts, feelings, and behaviours
Testing and adjusting for publication bias in meta-analysis
Переглядів 10 тис.3 роки тому
Testing and adjusting for publication bias in meta-analysis
How to perform a transparent meta-analysis
Переглядів 4,5 тис.3 роки тому
How to perform a transparent meta-analysis
Five things that every researcher should know about open science
Переглядів 1 тис.3 роки тому
Five things that every researcher should know about open science
Improving the credibility of meta-analysis
Переглядів 3884 роки тому
Improving the credibility of meta-analysis
How to effortlessly calculate the statistical power of studies included in a meta-analysis
Переглядів 9914 роки тому
How to effortlessly calculate the statistical power of studies included in a meta-analysis
How to calculate and visualise the power of each study in a meta-analysis
Переглядів 6604 роки тому
How to calculate and visualise the power of each study in a meta-analysis
How to calculate all possible meta-analysis study combinations
Переглядів 1,4 тис.4 роки тому
How to calculate all possible meta-analysis study combinations
From the lab to your living room: adjusting to a new way of working as a scientist
Переглядів 1974 роки тому
From the lab to your living room: adjusting to a new way of working as a scientist
Using social media and podcasts to boost your academic career
Переглядів 4824 роки тому
Using social media and podcasts to boost your academic career
How to use Bayes factors and equivalence tests to better understand non-significant p-values
Переглядів 3,5 тис.4 роки тому
How to use Bayes factors and equivalence tests to better understand non-significant p-values
How meta-science can improve our trust in biobehavioral research
Переглядів 5994 роки тому
How meta-science can improve our trust in biobehavioral research
Heart rate variability: physiology, methodology and experimental possibilities
Переглядів 28 тис.4 роки тому
Heart rate variability: physiology, methodology and experimental possibilities
The tools you need to start your own podcast
Переглядів 2884 роки тому
The tools you need to start your own podcast
A little oxytocin story from the birth of my first child
Переглядів 964 роки тому
A little oxytocin story from the birth of my first child
Using social media and open scientific practices to get fast feedback on your research
Переглядів 1344 роки тому
Using social media and open scientific practices to get fast feedback on your research
How to make a reproducible version of your R analysis that can be run in a web browser
Переглядів 2 тис.4 роки тому
How to make a reproducible version of your R analysis that can be run in a web browser
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 ;)
Glad to hear this video was useful!
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!
Glad it was helpful!
Thank you for creating this video. Great a supplement to textbooks!
Happy to hear this!
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
Thanks for the comment!
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! ua-cam.com/video/z1CqFWBV4B8/v-deo.htmlsi=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!
Yes, it’s possible to plot both categorical and continuous moderator analysis. I hope to demonstrate this in a future video
great, thanks!@@dsquintana
Can meta-analysis in jamovi be used specifically for SEM research (MASEM)?
Thanks for your comment! Conventional SEM analysis is possible in JAMOVI but not SEM meta-analysis unfortunately
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
Ok
Excellent video Daniel, thank you so much for detailing the code, data and rationale behind the analysis/method
Glad you liked the video, thanks for the comment!
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!
Thanks for the comment, glad this was useful
Hello, Daniel. Thank you for the video. It's really helpful.
Glad you found the video helpful, thanks for taking the time to leave a comment!
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?
I haven’t tried these packages personally, but I’ve heard good things about PyHRV from colleagues
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.
Thanks for watching! I posted the link to the script in the video description, but here it is in case you missed it www.dsquintana.blog/meta-analysis-power-plot/
@@dsquintana thank you handsome guy.
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.
too quiet
This is a lot of reading. Good thing youtube is know for books.
Thanks!