Patient Management | Evidence-Based Dentistry | INBDE, ADAT
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- čas přidán 6. 08. 2024
- In this video, we discuss evaluation of dental literature and evidence-based dentistry including an overview of study design and statistics. Thanks for watching!
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Thank you so much for explaining a set of very complex topics in an easy way!
You have the prayers and support of all of us getting educated with your knowledge. Teaching itself is not a difficult job, but teaching so that the students easily understand, interpret and memorize the concepts is an art!!
Wow, thank you so much for the kind words! 😄 I really appreciate your prayers and support! 🙏🏼
Hi Dr Ryan!! You are such a lifesaver. This just lifted a huge burden from having to read this on my own. Each time i try...i never get to understand it fully up until now. I was hoping you could release a slide on forest plot...it appears to be a high yield area as well for INBDE. Thanks and God bless!!
WOW !!!!
Great efforts doc !!!!
Keep it up !!!
So Thankful!!
AMAZING! Relevant, digestible, and concise. Thank you for making these videos :)
You’re very welcome! 😁
Thank you for the wonderful videos and all your hard work that goes into them! One suggestion on this video that is minor, right before 26 minutes you mention "accepting the null hypothesis." In the stats world this is a big faux pas, as you NEVER "accept the null hypothesis", but rather "fail to reject the null hypothesis." I know it's semantics but it is a big point in the stats/literature world.
Amazing content Dr. Ryan!!
Not fun to watch this but I know how important this information will be for exam...so thank you so much Dr. Ryan!
I never understand this topic but you made this so simple and understandable specially the tests part. Actually public health part is boring but you made it interesting. Thanks a lot doctor !🎉
I am so glad to hear that! 😊
Thank you Dr. Ryan for this excellent presentation. As you mentioned in this video type 1error s occure when can yield significant even it does not exist in the sample. Most studies use alpha =5%,95% confidence interval , p=0.05 to reject or accept the null Ho which may indicate the means, scores or a proportions are not different. To add, Jacobsen,2017, indicated that when alpha=5% about 1in 20 of statestical test of data will result in type 1 error. Whereas choosing alpha= 0.10 or significance level of 10% will increase type 1 error causing 1 in 10 tests to indicate difference or significant difference even though there is no difference.
Type 2 errors finds no significant result even though a significant difference exists and the likelihood is 20% of type 2 errors.
Our goal of any study to find association or difference so I found benificial to use significance level at 5% where alpha=0.05 during my practicum. Thank you. Dr.K.Etheridge MPH-d
Thank you for your insightful comment!
thank you !
"Heeeey everybody, Ryan here and welcome back to another AWESOME video" is what Dr Ryan is really saying at the start of every video :3
Haha, maybe I should change my intro! 😆
@@mentaldental Nooo, your intro is great and consistent! It adds to the awesomeness of your videos and makes em special
Hi, dr. I watch your all videos. Thanks a lot fr your amazing lactures. And lhad my afk exame on coming saturday and advice you want to gave me. Tnanku
@@mentaldental Nope, it's a catchphrase at this point.
👍👍🙏
Well done...smooth.
Fantastic.
Wow , thank you so much , I'm waiting for the patient managment pdf 5,6,7
Nice video plz upload on class 2 cavity preparation video demonstration 🙏😊
You should add in your description box how to cite your videos in APA 7th edition format
Life savior!
Thanks for the videos!!
Question about type 1 error/alpha or type 2 error /beta:
Which is least harmful? I think is type 2 error bc the disease doesn´t receive treatment. What´s your opinion? Thank you in advance
Hey Dr. Ryan, quick question: where would Literature reviews be on the hierarchy of evidence?
OMG! Why do NBDE does that to us? I literally have no idea what is going on in this video hahaha Not your fault, Dr. Ryan. You are great! The subject is just annoying :(
could you explain the difference between prevalence and incidence?
It all has to do with the element of time. Prevalence is the proportion of individuals who have a condition at a certain period in time (on this day at this time, how many people in this room have a cavity?). Incidence is the proportion of individuals who develop a condition over a certain amount of time (after 6 months, how many people in this room got a cavity?). It is a subtle distinction, but an important one!
this is my least favorite video, the information makes me sad ,LOL, thank you ! I don't just couldn't imagine reading all that info . life saver
I AGREE LOL
Gingival index: ordinal or nominal..?
Gingival index is ordinal, because the values (0-3) come in discrete, ordered categories.