Statistics: Basics - Epidemiology & Biostatistics | Lecturio

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This video “Statistics: Basics” is part of the Lecturio course “Epidemiology & Biostatistics” ► WATCH the complete course on lectur.io/biostatisticsbasics
► LEARN ABOUT:
- Epidemiology and Statistics
- Types of Variables
- Dichotomous Variables
- Null Hypothesis
- p-Value
- Confidence Intervals
- Learning outcome
► THE PROF:
Dr. Raywat Deonandan is an Assistant Professor of Health Sciences at the University of Ottawa, an epidemiologist, a global health researcher, and best-selling novelist. His research interests include the epidemiological trends in global burdens of disease, the social and moral dimensions of risk perception, and other global health related topics. Furthermore, Dr. Deonandan is an award-winning journalist with features in the Toronto Star, the Huffington Post and other publications. Presently, he sits on the Board of Directors of the Canadian Society of Epidemiology and Biostatistics, and is the founder and Executive Editor of the Interdisciplinary Journal of Health Sciences.
Dr. Deonandan is keenly interested in spreading knowledge about epidemiology globally, be it through social media or via innovative teaching methods.
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Basics of Research Methodology: Data Analysis and Data Interpretation & Evaluation of Results
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[@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.

[@dai786]

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

[@Gbellamom]

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

[@AA-gl1dr]

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

[@cherylclevenger2555]

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

[@RR-ik3kg]

Same lol!

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Same here 😀

[@sue-ellenvanniekerk6517]

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

[@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!

[@aidylmorningdew195]

very informative and simplified for beginners

[@HashirAbdi]

Brilliantly Conveyed... Thank you

[@saidarahmani8151]

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

[@hoho7378]

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

[@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?

[@omojidetolu]

Well explained. thanks

[@maggy288]

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

[@pharmacist8035]

so helpful looking forward for more such videos :)

[@ashwinbhaskar8945]

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

[@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

[@parmitacontractor9357]

very clearly explained

[@dormantvolcano1]

Excellent explanation, very useful

[@unays]

Thank you so much

[@roythomasful]

Fantastic! Keep it up!

[@alauddin3307]

great work.......really appreciated

[@susankamalizeni8663]

This is well simplified, thank you

[@rafasmga]

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

[@mahaignas1655]

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

[@zeroseven1060]

Explained in detail👍👍 please create more vedios in biostatistics

[@catherinepham3999]

Amazing video. Thank you do much.

[@aidylmorningdew195]

Thanks

[@caribaez5711]

I want him as my stats professor

[@mohamedthabit6426]

You are a great lecturer

[@kirujajason5719]

Thank you

[@missheartsdesires]

This was excellent, thank you!

[@manavbharath2680]

Awesome!

[@justonegoodvideo]

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

[@lecturiomedical]

Glad you enjoyed it!

[@erickwabia155]

this Prof is good

[@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?

[@ahmedabdelrahim4497]

Thank you ❤

[@caribaez5711]

This guy seems good professor..

[@krishnakumar-dd8io]

Great

[@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 ?

[@dr.satyabratasahoo5644]

Nice

[@liliannamuganyiwahibi8187]

The lectures are so good but incomplete

[@hanksnow5470]

Interesting, but why the word Epidemiology in the title?

[@khalidazzawi7943]

Check 14:40 he gets freaky

[@Yasinmahmad-ik8fn]

Qution

[@himalayansalt32]

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

[@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