Wow. 40 years as a practicing orthopedic surgeon and I finally get it. Clear, concise. I actually am looking forward to the remaining lectures! Great work.
I’ll be beginning my journey toward obtaining my masters in epidemiology in Sept. This is a great head start and I’m sure I’ll be back on a continuous basis.
After 30 years of practicing rehabilitation medicine, I'll be headed back to school to get an MPH degree. Thanks to your excellent videos I'll have a head start on my classes! Thanks for making these and posting them!
Great presentation. May I ask how you developed the presentation i.e. to have your in the forefront of the presentation while you process your slides behind you?
Thank you for your comment! If you enjoyed the video, don't forget to subscribe and turn on notifications to stay updated with all our UA-cam videos. 🤗 Additionally, for more learning opportunities, we invite you to sign up here and explore even more of our free content, along with all the study features that can help you ace your exams: lectur.io/freecontentyt
So with the confidence interval if the value falls within a specific range then the H0 is rejected? Also when you talk about values, what values are you talking about, values from some equation, or values from the study?
Fantastic video! Thank you so much! Taking my first BioStat course next month and this video was a great intro. I understood it clearly and feel more confidence in my ability to pass my course. Thank you!
Biological sex is not categorical as a binary and your comment about being transgender being political is off-base to boot. While not nearly as common, intersex individuals exist and phenotypically span a spectrum of what approaches continuous variation. Sex as a binary would exist if only one switch determined it, but sex is a combination of myriad genetic (examples include PAIS and Klinefelter syndrome) and environmental effects (fetal hormone exposure for example). I only point this out because this misconception of biological sex as a binary leads to a massive oversimplification of gender issues. It leads to things like declaring 'transgender issues' a political issue rather than a complex expression of complex biological and environmental interactions.
I rarely find UA-camrs that are able to explain topics simply and throughly, I can say I have found a great lecturer.
Wow. 40 years as a practicing orthopedic surgeon and I finally get it. Clear, concise. I actually am looking forward to the remaining lectures! Great work.
Very helpful! Love his voice, it actually makes me want to listen.
Same lol!
Same here 😀
I’ll be beginning my journey toward obtaining my masters in epidemiology in Sept. This is a great head start and I’m sure I’ll be back on a continuous basis.
Amazing content and presentation style. Calm with perfect speed for me as not native. Finally I 've found the right person. Thanks much
This is so great, when will be there more , it’s helping me so so so much.
After 30 years of practicing rehabilitation medicine, I'll be headed back to school to get an MPH degree. Thanks to your excellent videos I'll have a head start on my classes! Thanks for making these and posting them!
This guy rocks! I saw all his stats lectures at lecturio 🥰 helped me pass
Thanks
Wow sir thank you so much ! Very informative yet very subtle and very easy to absorb thank u so much !
Interesting, but why the word Epidemiology in the title?
Please professor am the first year student pursuing epidemiology and biostatistics, is it marketable?
Check 14:40 he gets freaky
2 years later and I'm here dizzy 😂
You are an amazing person, so confident, perfect with slow motion of tone.
can you be my mentor
I want him as my stats professor
Brilliantly Conveyed... Thank you
so helpful looking forward for more such videos :)
Amazing video. Thank you do much.
Explained in detail👍👍 please create more vedios in biostatistics
very informative and simplified for beginners
great Thanks !! I start to understand somthing hier !!
Great presentation. May I ask how you developed the presentation i.e. to have your in the forefront of the presentation while you process your slides behind you?
Excellent explanation, very useful
Very nice explanation sir
great work.......really appreciated
Thank you
Nice
I have exams in two weeks ,I’ve never understood what they say in class.Thank you for this lecture
Excellent lecture
Great
Thank you so much for teaching me! Best teacher I’ve had yet for biostats!
Qution
I FELL IN LOVE WITH THIS VIDEO! ❤❤❤
Thank you for your comment! If you enjoyed the video, don't forget to subscribe and turn on notifications to stay updated with all our UA-cam videos. 🤗 Additionally, for more learning opportunities, we invite you to sign up here and explore even more of our free content, along with all the study features that can help you ace your exams: lectur.io/freecontentyt
You are a great lecturer
Brilliant explanation and well thought out video! Loved it, thanks! 🤓😍
Glad you enjoyed it!
So with the confidence interval if the value falls within a specific range then the H0 is rejected? Also when you talk about values, what values are you talking about, values from some equation, or values from the study?
I'm trying to find my way to study public health, anyone with another example of P- Value and why is important when its low 0.5 ?
Fantastic video! Thank you so much! Taking my first BioStat course next month and this video was a great intro. I understood it clearly and feel more confidence in my ability to pass my course.
Thank you!
very clearly explained
Thank you so much
this Prof is good
Fantastic! Keep it up!
This video is great. Can't wait for more!
Rafael C. García Acosta all the videos are on lecturio app I guess
Wow. cool. Fantastic presentation. easy to understand. Looking forward for more videos. Thanks a lot.
You too seeking for fresh comments from people to research coronavirus on their own? Congratulations, you have found it
Thanks
Well explained. thanks
Awesome!
This was excellent, thank you!
This is well simplified, thank you
The lectures are so good but incomplete
Thanks for the awesome lecture, I'd like to know if the dichotomous scale is the same as a binary response
Thank you ❤
Thank you
This guy seems good professor..
Biological sex is not categorical as a binary and your comment about being transgender being political is off-base to boot. While not nearly as common, intersex individuals exist and phenotypically span a spectrum of what approaches continuous variation. Sex as a binary would exist if only one switch determined it, but sex is a combination of myriad genetic (examples include PAIS and Klinefelter syndrome) and environmental effects (fetal hormone exposure for example). I only point this out because this misconception of biological sex as a binary leads to a massive oversimplification of gender issues. It leads to things like declaring 'transgender issues' a political issue rather than a complex expression of complex biological and environmental interactions.
Was looking for this comment. The psychology of gender is far different than what he boils it down to be in that sentence
Also gender does not equal sex like he lists it.