Biostatistics Tutorial Full course for Beginners to Experts

Biostatistics are the development and application of statistical methods to a wide range of topics in biology. It encompasses the design of biological experiments, the collection and analysis of data from those experiments and the interpretation of the results.
The following topics of #biostatistics have been discussed in this course
⭐️ Table of Content ⭐️
0:00 Module 1 - Introduction to Statistics
29:13 Module 2 - Describing Data: Shape
45:44 Module 3 - Describing Data: Central Tendency
1:03:34 Module 4 - Describing Data: Variability
1:34:51 Module 5 - Describing Data: Z-scores
1:43:25 Module 6 - Probability (part I)
2:09:21 Module 6 - Probability (part II)
2:26:22 Module 7 - Distribution of Sample Means
2:41:24 Module 9 - Estimation & Confidence Intervals & Effect Size
2:56:59 Module 10 - Misleading with Statistics
3:17:43 Module 11 - Biostatistics in Medical Decision-making
4:13:36 Module 11b - Biostatistics in Medical Decision-Making: Clinical Application
4:56:51 Module 12 - Biostatistics in Epidemiology
5:05:16 Module 13 - Asking Questions: Research Study Design
5:10:15 Module 14 - Bias & Confounders
5:39:20 Module 16 - Correlation & Regression
6:06:19 Module 17 - Non-parametric Tests
⭐️ Credit⭐
Creator: Quinnipiac University: Health Professions Biostatistics
License: Creative Commons Attribution license (reuse allowed)
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Join our FB Group: / cslesson
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Website: cslesson.org

[@AcademicLesson]

⭐️ Table of Content ⭐️
0:00 Module 1 - Introduction to Statistics
29:13 Module 2 - Describing Data: Shape
45:44 Module 3 - Describing Data: Central Tendency
1:03:34 Module 4 - Describing Data: Variability
1:34:51 Module 5 - Describing Data: Z-scores
1:43:25 Module 6 - Probability (part I)
2:09:21 Module 6 - Probability (part II)
2:26:22 Module 7 - Distribution of Sample Means
2:41:24 Module 9 - Estimation & Confidence Intervals & Effect Size
2:56:59 Module 10 - Misleading with Statistics
3:17:43 Module 11 - Biostatistics in Medical Decision-making
4:13:36 Module 11b - Biostatistics in Medical Decision-Making: Clinical Application
4:56:51 Module 12 - Biostatistics in Epidemiology
5:05:16 Module 13 - Asking Questions: Research Study Design
5:10:15 Module 14 - Bias & Confounders
5:39:20 Module 16 - Correlation & Regression
6:06:19 Module 17 - Non-parametric Tests

[@aishwarya_ganapathy]

Thank You for reuploading❤️

[@dilaraesmer]

Thank you so much for your all videos :)

[@thuruthelhome1147]

Good

[@HomerSimpson278953]

Thank you ! Can you add subtitles to your videos ?

[@flynnjeremy9799]

i guess I'm kinda off topic but does anybody know a good site to watch new tv shows online?

[@carro2dos86]

Dude wow, I have longed for someone that explained topics REALLY deeply and actually understood them. Putting together coherently so much information is sooo useful because I don't have to take a ton time researching. Thank you, thank you, and thank you.

[@nooranoureldin421]

This saved my life, big thanks 🙏 God bless every person who contributed into this

[@snehathomassnehathomas5271]

s ofcourse God will bless them.....

[@yourdoctorpharma]

I am so grateful that all this information is available for free, the section on 'misleading with graphs' is a real eye-opener. Honestly, up until now, I just knew that data could be manipulated but the examples demonstrated here regarding the same shook me from inside. I feel so happy that I am studying statistics, and especially from this channel. You have made a great impact on my thought process, being aware of all this will compel me to analyze every news headline I come across and every topic I read. Thanks for preventing me from getting fooled, Thankyou so so much Sir!

[@KDonline797]

It's great! Gratitude to all the members who created this material. One of the best materials I found on UA-cam to get an overall idea of how statistics is involved in Public health and explanation of statistical concepts, examples are mindblowing as well. can you do the same for EPIDEMIOLOGY?

[@neomannasir4794]

It's great! Gratitude to all the members who created this material. One of the best materials I found on the internet to get an overall idea of how statistics is involved in biomedical science and explanation of statistical concepts, examples are mindblowing as well.

[@vafamammadova-damirchiyeva5781]

I deeply enjoyed this lecture. I have never thought that biostatistics could be taught in such astonishing way.

[@brainstormingsharing1309]

Absolutely well done and definitely keep it up!!! 👍👍👍👍👍

[@krittikasharma8611]

This is the presentation ever. I am not a student of biostatistics but I have to study it for my Masters program. And this presentation has cleared the concepts. I am thanking the teacher here, sir you are the best. thank you so much for the help. :)))))

[@chinonsoamadi468]

Hello

[@zaolith2297]

I had found another 8 hour video about statistics but it was bullshit. I gave this is a try and it's actually superb. It is without hesitation everything I needed to acquire some basic knowledge for biostatistics. Now I will be able to build a much better foundation.

[@jkkaki7430]

Just finished my first module and….😭😭😭thank you thank you thank you. Love your voice and calm manner of speaking🙌🏾🙌🏾🙌🏾✨✨✨thanks so so much🙏🏾

[@joyganguly6834]

This lecture is a goldmine for Biostatistics...from simple to advanced concepts everything described so well.
I really thank all the members who have contributed to this video.

[@sunsite15]

loved the description of the z score ! really nice work

[@Excelxipp]

Everytime I come back to the video I find myself trying to give it a like despite having already given it one the first time. Such an amazing content :)

[@bereketzerihun8000]

Thanks for sharing basic knowledge on biostatics

[@amounachan3500]

Thank you so much I can't find more world to thank more 🤗🤗🤗

[@user-lx9hs2rx9q]

Thank you a lot, it helps me so much.

[@muhammadhassan4506]

Thanks for such beautiful work

[@globalhero8464]

Thanks. Vow....It seems that there are still nice people on the planet even though there is KALYUG. Hats off to you guys and the academy for uploading such kind of materials.

[@PublicHealthResources]

😎 i agree

[@FluffY-yo7nc]

For another subject (a 29-year-old male) in the study by Diskin et al, acetone levels were normally distributed with a mean of 870 and a standard deviation of 211 ppb. Find the probability that on a given day the subject's acetone level is between 600 and 1000 ppb

[@lorenzoga1728]

Thanks, you made superb video, your channel is amazing

[@onyekachiakoma5164]

This is good. Thumbs up!

[@sendirLP]

You Sir are a boss!

[@njerimbugua3724]

wooow i have really learned alot. please do something great on epidemiology. i cant wait enough

[@aysundogan755]

Thank you for this magnificent video.

[@ninaneen6696]

Thanks for this!

[@weihocheng4010]

I've got a question. In the second example of interquartile range, why do we include both of the middle scores to compute Q1? Since Q2 is 84.5, I simply thought the first subset would be consisted of {72,72,73,76,76,77,84,84}, and Q1 would be the middle number in between the 4th and the 5th, which is 76. However, the last subset would be {85,85,91,93,98,125,149,164}, Q3 would be (93+98)/2 which is 95.5.

[@SportsKiDunya-yk3cc]

Thank you so much sir stay blessed and happy.

[@mosesrfornah7712]

Nice comprehensive lectures

[@fadiasfar2493]

Can I have a pdf paper of the presentation, please, big thanks to the great work, massively beneficial.

[@rosaalmonte1011]

could you add automatic english subtitles please:) It helps me better comprehend the information. Thank you:)

[@alinomugashaemmanuel5131]

This is the best lecture

[@reynster123]

Great channel, loving the content so far. Will you be adding a Electrical Circuits course? I would love to have a place with all content in one video for study/review

[@PublicHealthResources]

True

[@Outlier_G]

if only you were my professor, thanks 🙏

[@sanjaisrao484]

Excellent course ! Thank you very much, Can you please share the slides

[@hansonwinx7843]

Any reference sources that we can use? Great work btw

[@ryanmallady2662]

Thanks for the video, it was very helpful. One question: What is that handwriting font used on the page headings?

[@abhishekyadav2191]

Great video 👍👍

[@cinderkenner823]

No shade to my instructor, but i learned and understood more in these 6 hours than an entire semester of Research Methods course.

[@shripujas5129]

excellent. thank u

[@kshitij7b286]

Thamks for making video which teaches me a lot and my small request is can you please make full course on coordinate geometry

[@thilinaalagiyawanna3680]

Thank youu very much 🥰

[@misbahhashim2222]

Guys you are amazing ❤️❤️

[@ro992]

*2-17-21*
*Nice Content* . Well organized. Understandable. A patient type of voice. Thanks for sharing great knowledge. I will be taking Biostatistics in fall of 2021. I thought it a good idea to get an early start, and learn as much as possible *before* the class. I hope I am ready. Nice accent ( *at the beginning* ). Egyptian? Just wondering. Again, thanks.

[@ro992]

@Myson Tike
*Huh* ?

[@thehottake8197]

How did Biostats turn out for you

[@life654]

This is very helpful! At 4:32:51, should it actually say LR have advantage over PPV and NPV rather than sensitivity and specificity? Or am I misinterpreting the statement?

[@not_amanullah]

this is helpful 🖤

[@abditube1403]

very helpful👏

[@warmpandabelly]

Thankyou very much for the video. It is very helpful.
Is it possible to get the slides as a pdf ?

[@menshift]

Thank you

[@milosristic1111]

Thanks to You ❤😂❤🎉❤ Very Much, I'll detailed study this matter 💕😊❤🎉❤.

[@a.pineethasunilaka4397]

Please upload the general chemistry full course

[@GiangNguyen-tp3pb]

Big big thanks

[@arthurkorir7846]

Thanks a lot for this. There is an error at 1.31.01. You didn't include the glucose reading 98 which brings error in your calculation.

[@drsunilxid]

@ 5:21 selction bias alters result by introducing selection bias. There is no other way for selection bias to alter the results. So, why are we using word in contrast here, when both selection bias & confounding go hand in hand.

[@aprotutor]

Hi! Any courses on Biomedical imaging & Logistic Regression for medicine? Thanks!

[@eduardosalomaorodriguesnas6088]

At 19:05, why isn't it a quasi-experimental design? It said "all the individuals then take the drug".
Where's the control group?

[@gjjakobsen]

At 1:12:00, you note that to calculate Q1, you would consider the values below Q2, and include Q2. You go on to say there are an even number of values. There are indeed an even number of values, if you don't include Q2. That confused me a bit and sent me looking at other sites that confirmed you find Q1 without including Q2. Just a bit unclear there.

[@Kdub5150]

I shared this with a friend she said it took her from almost dropping to a 88 grade

[@baohoanggia5208]

excuse me, could i ask if I should write down all the notes on the slides, or I just let the video stream and follow the flow? Thank you guys so much!

[@vivaldiantonio2059]

Very great lecture, can you recommend me more book about your Module 11, i want to take deep dive in this topic

[@Gaani2026]

Can someone help me, which textbook is suitable for this lecture?

[@not_amanullah]

thanks ♥️

[@shixixu9524]

Thanks, but where could I find videos that going deeper?

[@momoftwo7818]

God bless you ❤️

[@Nofiamich]

This is great, but much better at 2x speed!!

[@vishalbhartimg]

Thank u

[@riprider2]

Thank you so much but the house hold dogs vs falls example has me stumped at 16:05. I believe this is quasi?
You are only measuring one variable, falls over 12 months. You aren’t measuring the number of dogs vs the number of falls? In my head, you would categorise people as ‘dog owners’ vs ‘non-dog owners’ - these naturally occur after discharge from hospital.
Please fix my way of thinking if I am wrong here.

[@aroor1785]

Dear thank you sooo much for this great video
Is there any pdf for the lecture so we review or study after finishing the video ?

[@someone-us3wt]

where can i find the presentation please?

[@nageswarareddy7634]

Sir, this video is really good and useful, thank you for uploading.
Where shall I get modules 8 and 15?

[@seneshg]

ua-cam.com/play/PLqF0_71PTqABCZ8laTMNY3J0zKnJifQCy.html

[@nageswarareddy7634]

@@seneshgThank you

[@craigcambridge2484]

Does anyone know if this will help with usmle step 3

[@maryammisaal1056]

hi can i get pdf of this?

[@aloevera15]

Thankyouu!

[@AcademicLesson]

You are welcome

[@markrosenberg4369]

Its good but would also like to see worked examples in code (say in Excell)

[@user-zv4uw6jq3y]

can you share the link of the slides?

[@cherifgeekzup825]

Is there is any exam for this course ?

[@gulrukh5743]

how i can get these notes

[@daniyanaidu8268]

How do I get the pdf

[@aakashsingh409]

can you add a link leading to the slides used in the video, that'll be very helpful.

[@musicofree4853]

can i get this pdf ?????

[@anacarolinearaujo6550]

could you share the slides please

[@santiagosoto910]

why not subtitles??? you lost half of the target public

[@moamenwali1881]

2:39:55 dividing -8/2.5 =-3.2, so how you got this result??????

[@isaacwachira8803]

Makes no sense how -0.64 was obtained. Should give P=0.069%

[@mohamedmonem3024]

confused here as well..???

[@ctay7680]

think it is a typo. -3.2 is not in unit normal table. I just used 68 instead of 67, to get a value inside the table for practice.

[@ITGUYWHOLIFTS]

does anyone have access to the ppt presented here?

[@user-mc1te6mz4i]

ياليته مترجم

[@deekshasingh798]

cool here for upsc only

[@drsunilxid]

Your calculation of q1 & q3 wrong.
For n=odd (2x+1). Q1 is median of firsrt x numbera & q3 is median of last x numbers.
If n= even (2x) Q1 is median of firsrt x numbera & q3 is median of last x numbers.

[@fairy5724]

Don't remove video

[@ali_alami]

Take a shot everytime he says "what kind of study is this 🤨"

[@user-nz7zj9bk4w]

57:03

[@user-gg3nm4xm6r]

this was too drowsy to follow (imvho), but at 1,25 speed, it's much better. problem solved.

[@PublicHealthResources]

🙂

[@drsunilxid]

Also your example 12 is calculated wrong i confirmed on computer as well as from table. Unbelievable you didnt even crosscheck. Answer is 0.2592.

[@am1rsafavi-naini356]

[@thememe986]

P=.9😂

[@petterbakken7818]

good stuff but whats up with the cringe depressed robotic voice?

[@isackdudiondiek8916]

To much history instead main concept dammmmmm

[@Otieno12]

But statistics is history; Its past data.

[@manishamathela8033]

I am so thankful to you for making this video 🪻

[@SportsKiDunya-yk3cc]

It's great! Gratitude to all the members who created this material. One of the best materials I found on the internet to get an overall idea of how statistics is involved in biomedical science and explanation of statistical concepts, examples are mindblowing as well.