Statistics: Basics - Epidemiology & Biostatistics | Lecturio

[@RR-ik3kg]

I rarely find KZbinrs that are able to explain topics simply and throughly, I can say I have found a great lecturer.

[@dracohn1]

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.

[@gjjakobsen]

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!

[@sohoyankee66]

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.

[@cherylclevenger2555]

Very helpful! Love his voice, it actually makes me want to listen.

[@RR-ik3kg]

Same lol!

[@petere.anakwe2495]

Same here 😀

[@mario17-t34]

Amazing content and presentation style. Calm with perfect speed for me as not native. Finally I 've found the right person. Thanks much

[@danielpalacios7546]

I FELL IN LOVE WITH THIS VIDEO! ❤❤❤

[@lecturiomedical]

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 KZbin 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

[@Gbellamom]

This guy rocks! I saw all his stats lectures at lecturio 🥰 helped me pass

[@DoesItReallyMatter25]

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!

[@krishakrishna4484]

I hate these kind of people who say they r not good at it when they have phd and high end degrees on it.

[@M-gh5pi]

So why you are here . Bounce

[@Liftedbygrace340]

I have exams in two weeks ,I’ve never understood what they say in class.Thank you for this lecture

[@AA-gl1dr]

Thank you so much for teaching me! Best teacher I’ve had yet for biostats!

[@MartinoMajokKuocAyai]

You are an amazing person, so confident, perfect with slow motion of tone. can you be my mentor

[@saidarahmani8151]

Wow sir thank you so much ! Very informative yet very subtle and very easy to absorb thank u so much !

[@dilemmit]

Categorical are data that can be grouped: age group, sex, etc

[@sue-ellenvanniekerk6517]

This is so great, when will be there more , it’s helping me so so so much.

[@zeroseven1060]

Explained in detail👍👍 please create more vedios in biostatistics

[@dormantvolcano1]

Excellent explanation, very useful

[@HashirAbdi]

Brilliantly Conveyed... Thank you

[@justonegoodvideo]

Brilliant explanation and well thought out video! Loved it, thanks! 🤓😍

[@lecturiomedical]

Glad you enjoyed it!

[@seharammar1846]

Excellent lecture

[@aidylmorningdew195]

very informative and simplified for beginners

[@susankamalizeni8663]

This is well simplified, thank you

[@mohamedthabit6426]

You are a great lecturer

[@AineamaaniLydia]

Thank you

[@petermunduki]

Very nice explanation sir

[@drudru5992]

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?

[@catherinep3999]

Amazing video. Thank you do much.

[@missheartsdesires]

This was excellent, thank you!

[@caribaez5711]

I want him as my stats professor

[@alauddin3307]

great work.......really appreciated

[@rafasmga]

This video is great. Can't wait for more!

[@maha.1655]

Rafael C. García Acosta all the videos are on lecturio app I guess

[@Rabies4818]

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?

[@kirujajason5719]

Thank you

[@ahmedabdelrahim4497]

Thank you ❤

[@Jacobkimanthi-d9f]

Please professor am the first year student pursuing epidemiology and biostatistics, is it marketable?

[@erickwabia155]

this Prof is good

[@pharmacist8035]

so helpful looking forward for more such videos :)

[@ashwinbhaskar007]

Wow. cool. Fantastic presentation. easy to understand. Looking forward for more videos. Thanks a lot.

[@parmitacontractor9357]

very clearly explained

[@hoho7378]

great Thanks !! I start to understand somthing hier !!

[@roythomasful]

Fantastic! Keep it up!

[@CommunityMedicinePublicHealthw]

Good job

[@lecturiomedical]

Many thanks! And if you wanna learn more, check his Epidemiology complete course here: lectur.io/epidemiologycoursepage

[@unays]

Thank you so much

[@omojidetolu]

Well explained. thanks

[@manuelarellano8886]

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 ?

[@maggy288]

Thanks for the awesome lecture, I'd like to know if the dichotomous scale is the same as a binary response

[@aidylmorningdew195]

Thanks

[@khalidazzawi7943]

Check 14:40 he gets freaky

[@TheDYNAMITE001]

2 years later and I'm here dizzy 😂

[@manavbharath2680]

Awesome!

[@caribaez5711]

This guy seems good professor..

[@liliannamuganyiwahibi8187]

The lectures are so good but incomplete

[@dr.satyabratasahoo5644]

Nice

[@hanksnow5470]

Interesting, but why the word Epidemiology in the title?

[@krishnakumar-dd8io]

Great

[@Yasinmahmad-ik8fn]

Qution

[@himalayansalt32]

You too seeking for fresh comments from people to research coronavirus on their own? Congratulations, you have found it

[@RAJYASREE-x6z]

Sir / maddam there is help to all the. Statics thus the gelp to all the help to all the care to care is that the help to all the care is that the only the. T value. F value thus tge care is vsribility care of life thus the help to. Significanse thus helping the life thus helping the life thus giving the care thus the help to all the care is. Z score as well thus the help to all the care is. Normal distribution curve. As well thus the help to all the care to all thus tge help only the care is. P value. Thus the life is. Quality of data as well thus the help to you as well all thus thus is thus thanks sir / maddam

[@CommunityMedicinePublicHealthw]

kzbin.info/www/bejne/nYeXepqFnb5-aassi=Iq2CeGZU_Gkc548a

[@lecturiomedical]

Thank you for sharing this learning resource!

[@randvids6072]

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.

[@skylarchurches3393]

Was looking for this comment. The psychology of gender is far different than what he boils it down to be in that sentence

[@skylarchurches3393]

Also gender does not equal sex like he lists it.

[@chandanYosingh]

Thanks

[@wesamabdelmomen4313]

Thank you