This presentation is pure gold! Thank you for sharing it with the rest of us unfortunate to have not attended this session
@MetaAnalysisCMA4 жыл бұрын
Glad you enjoyed it!
@ahmedehsanurrahman41854 жыл бұрын
This is the best explanation of RE models and FE model in meta-analysis that I have ever heard.
@calebdanny14853 жыл бұрын
you probably dont give a shit but does anyone know a way to get back into an Instagram account..? I stupidly lost my login password. I appreciate any tips you can offer me.
@archertheo68983 жыл бұрын
@Caleb Danny instablaster :)
@amywilderson853 жыл бұрын
Now I can see what exactly are fixed-effect and random-effects models. Thank you!!
@MetaAnalysisCMA3 жыл бұрын
You're welcome!
@tchinzowu3 жыл бұрын
Beautiful explanation. I'm going to sort the paper I am working on right away.
@thankyou65552 жыл бұрын
What an absolutely outstanding presentation! Wonderful! Thank you for sharing this.
@daahmandaahman79773 жыл бұрын
Brilliantly clear presentation. I will be sure to use the word 'universe' in my study!
@LegoEddy6 жыл бұрын
Finally understood it! Thanks a lot for sharing this, and for the reference to your paper for the mathematical differences.
@PharmSci_Insider2 ай бұрын
Thank you so much! It helped me to gain more insights as I am newbie in this domain.
@timot69017 жыл бұрын
Thank you very much! I found the paper you referred to before watching this video. After watching it I understand most of it.
@yinghe_dbw2 жыл бұрын
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!
@kayak0000 Жыл бұрын
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. 😅😅😅
@MrSpotgold4 жыл бұрын
I applaud this explanation! Thank you dr. Borenstein. Random effects models rule. The fixed effect model is simple, clear, and wrong.
@babakkhoshnood18115 жыл бұрын
Thank you so much. Very clear and concise. Look forward to reading the book / using the software. Best Regards, Babak Khoshnood
@babaymben98505 жыл бұрын
We owe a lot to Dr.Borenstein. Thanks doctor, i wish all the best to you.
@saadalhumaid39595 жыл бұрын
Fantastic tute as usual. Thanks alot Michael
@myihienew4 жыл бұрын
Thank you for your lecture. very easy to understand
@mauriciomolinahn3 жыл бұрын
Great Lecture Dr. Borensterin!!!
@MetaAnalysisCMA3 жыл бұрын
Glad you enjoyed it!
@fnssupply7 жыл бұрын
Thank you for taking the time to make this helpful video!
@ceciliasamame82163 жыл бұрын
Thank you, Dr. Borenstein. Excellent video!!
@indigolight226 жыл бұрын
Your insight is profound. Thank you.
@veralicebruin44786 жыл бұрын
Enjoyable and clarifying!! Thank you!!
@KingCrocoduck2 жыл бұрын
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
@tiajin2482 жыл бұрын
Thankss a lot for sharing this amazing lecture, I learned a lot from this lecture.
@elizabethblears29195 жыл бұрын
Thank you so much! Very helpful!
@dc33333 Жыл бұрын
good speaker. so clear.
@BigBossHuntelaar5 жыл бұрын
You should mension the method of Peto and the Fixed EffectS model sooner in the video! As a disclaimer. Now I've watched the entire video (and learned a lot!) and only found out at the end that the study I am interested in actually uses the fixed effectS model and Peto OR's.
@alfredoalarconyanez48962 жыл бұрын
Thank you, your video is very informative
@yousafkhankhalil87262 жыл бұрын
Thank you for your lecture
@Doodoodoomanamana10 ай бұрын
he mentioned he'd been talking about giving an appropriate weight to each study in another module, does anyone know which module it is?
@lisas.35304 жыл бұрын
Thank you so much!!!!!!!!!!
@PantherBakua7 жыл бұрын
great video. thank you very much
@mohammadkashem3375 Жыл бұрын
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?
@zqtang34815 жыл бұрын
Should fixed effect model instead of random effects model be used at 23:21? Is that right?
@drnaziashuaib72382 жыл бұрын
thanks sir
@venugopal-ir7hq4 жыл бұрын
Sir, can you please share the relevant reference for the above
@georgepalaio37453 жыл бұрын
So it’s wrong to chose a fixed effect model based on heterogeneity less than 50
@tesfahun_taddege6 жыл бұрын
Good
@bodrulalomk12576 жыл бұрын
nice
@LijiaLinPHD Жыл бұрын
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.
@archisarker2920 Жыл бұрын
❤
@AndruideAtario2 жыл бұрын
Fake and Fabricated! Bad presentation, and wrong and way off any reasonable analysis. Sad, I was excited