Age standardised mortality rate

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Direct age standardization and indirect age standardization are two methods for comparing the mortality rates of two populations. This is sometimes called the age adjusted mortality rate. These are methods used in public health and epidemiology to better understand death rates.
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Опубликовано:

28 июн 2021

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Комментарии : 102

@hassansci2436 2 месяца назад

This is a gift from the heavens. My professor just glossed over it without explaining what was happening. It is now clear is water. Thank you.

@gregmartin Месяц назад

Glad you liked it, thanks

@jeffreyrobens1667 Год назад

Hands down the clearest explanation of standardization to control for confounding factors, thanks a million!

@earlofopsis1307 10 месяцев назад

Greg, you have the gift of being able to make the complex sound simple. Thanks for the videos!

@lauren0080 6 месяцев назад

I was rereading the same chapter of my textbook trying to wrap my head around this concept but here you are explaining it for me in 8 minutes! Great video

@gregmartin 5 месяцев назад

So glad to hear the video helped clear things up for you! Sometimes, a fresh perspective is all it takes. If you have any more topics you're wrestling with, feel free to ask. Happy studying!

@AmrFleifle 2 месяца назад

Your illustration is just amazing! The graphs and even the sound of each element .... simply outstanding!

@gregmartin Месяц назад

So kind of you. Thanks

@alreemal-naimi8041 6 месяцев назад

You are a life saver, sir!!!!!! I never thought I’d nail the idea of direct and indirect std. !!! This is easy ! Thank you

@gregmartin 5 месяцев назад

Thank you for your kind words, and happy learning!

@hajraadil1091 Год назад

it couldn't have been more easier, I m doing msph and your videos are of immense help 👍

@gregmartin Год назад

Wow - what a nice thing to say (thanks!!)

@melissaurena7331 2 года назад

Thank you so muchhh!🥺 you made understanding this topics so entertaining and useful.🌼

@kanchanaerandijayamanna3569 Год назад

Yes, you are absolutely correct. after so much of effort, I understood the standardization....👍

@gregmartin Год назад

Glad to hear that, thanks for the feedback.

@fatmahasan6662 2 года назад

You have an amazing way! .whenever it's hard to understand a concept your videos solve the problem .I am doing my MPH .Can't thank you enough

@gregmartin 2 года назад

Glad it was helpful! Thank you :) All the best in your MPH journey!

@bobbyjaan5664 3 года назад

Congrats man you've gained a follower❤

@georgie66549 2 года назад

Your videos are so helpful!! I am currently studying an MSc in Epidemiology at University of Edinburgh and came across your videos when doing my Data Analysis in R module. Your videos are always clear, concise, explained well and upbeat!

@gregmartin 2 года назад

Glad it was helpful!

@user-jz6nu4ty6h 10 месяцев назад

amazingly concise and fun. Thank you so much!!

@gootube88 2 года назад

Thought this video was awesome. Well explained, well presented, top job!

@gregmartin 2 года назад

Thanks Dave!!

@dj1jesus375 2 года назад

Excellent explanations, thank you!

@gregmartin 2 года назад

You're very welcome!

@rosmcdermott8426 2 года назад

Honestly without your videos I would have failed my Undergrad and Masters! Thank you so much!😀

@gregmartin 2 года назад

Happy to help! You are so welcome!

@cdhcentrodecrescimento3096 3 года назад

Warmest congratulations on your presentation. Luiz Abreu, Brazil.

@gregmartin 3 года назад

Thank you very much!

@jmsule9367 3 года назад

Your videos are always educative and engaging. Thank you for the great work

@gregmartin 3 года назад

So nice of you

@gregmartin 3 года назад

So nice of you

@jallahkennedy8298 10 месяцев назад

Thanks. Good explanation.

@abbymeri8270 29 дней назад

Thank you for sharing. You are a life saver 🌺

@gregmartin 25 дней назад

glad you liked the video... :)

@JohnnyLt 3 года назад

This guy is the definition of: I dont fuck around. Rarely straight forward

@Himalayanfalcon Год назад

Very informative, you removed all my confusions 😊😊

@gregmartin Год назад

Glad it was helpful! Thanks for your amazing feedback!

@moism Год назад

Thank you, this is awesome!

@gregmartin Год назад

Thanks for watching!

@robbinburns6329 5 месяцев назад

Direct age standardization totally makes sense and I've been able to use your format to make some comparisons. Still trying to rap my head around the indirect age standardization.

@gregmartin 5 месяцев назад

Great to hear direct age standardization clicked for you! You're on the right track.

@danielleraso5419 Год назад

Wow this is an amazingly helpful video

@gregmartin Год назад

Glad it was helpful! Thanks.

@MPHEBRiri 11 месяцев назад

I LOVE EPIDEMIOLOGY NOW _ THANK YOU

@MPHEBRiri 11 месяцев назад

i wont do drugs and i shall do my best sir, God bless

@KendallKnaus 2 года назад

thank you from Texas

@gregmartin 2 года назад

You’re welcome

@sandra25 2 года назад

new sub, thanks loads

@gregmartin 2 года назад

Thank you for subscribing!

@MrNasking09 3 года назад

Greg good work

@user-fo3ug3cr4m 2 года назад

I‘d be very interested in a follow up explaining double standardisation, e.g. standardisation crime rates by age and then gender. Great video!

@gregmartin 2 года назад

thanks - will see what I can do.

@raedmohammed246 2 года назад

Fantastic video, please can know what are the software you are using in animation?

@user-yf3pb3mi8z 4 месяца назад

You are a life savior

@gregmartin 3 месяца назад

Thank you!

@ephraimduke 3 года назад

Thank you very useful stuff . Boomshakalaka 😄

@gregmartin 3 года назад

haha -thanks for the feedback !!

@kozhyarazad4024 Год назад

Thanks alot❤

@gregmartin Год назад

Always welcome, thanks too for watching!

@1rrrrrrrrrrr544f Год назад

Good job bro!

@gregmartin Год назад

Thanks!!

@xcastcastone9007 2 года назад

so helpful! I wonder is it possible to use standardization to standardize other rate, such as morbidity rate or hospital admission rate? or is it only specific for standardize mortality rate? and do we always need to standardize every data we read before making interpretation? I really appreciate if you could answer my questions....

@user-yg6rp1ou1u 8 месяцев назад

Yes, you could standardise, especially if you wish to make a decision of priority.

@lordma0024 Год назад

Thankksssssss🌷

@gregmartin Год назад

Thanks for watching

@mohamedmarie2416 3 года назад

Brilliant

@gregmartin 3 года назад

Thanks

@parisaramhormozi2206 2 месяца назад

Thank you I have a question how to calculate smr for a specific disease like MS

@StatisticsGlobe 3 года назад

Thanks a lot for explaining this concept Greg! I'm sure many statistical comparisons have been flawed because of this.

@Lol-ud7oc 2 года назад

Great. Thanks a lot . Counld not understand anything from " K .Park".

@piyalisarkar8111 2 года назад

What if I am given the european standard pop age distribution, how do I calculate the expected no of deaths?

@rishikakushwaha3716 2 года назад

Does working in public health organizations offer you to travel to different places(posting in different places ) or you have to stay in one place only?

@Buck90 3 месяца назад

Is the crude mortality rate a measure of incidence density or case fatality and how do you know?

@melonie_peppers Год назад

doing DPS at Wits 🎉🎉

@sandhuparminder2584 2 года назад

I want to take your help in my epidermiology course

@4BIDDEN.SECRETS 2 года назад

WOW 😳

@EidosGaming 2 года назад

How to decide how to stratify age groups? If they are too stratified (0-19, 20-39...) the results are not the most precise, but if they are not at all (0,1,2...) things can go wrong when numbers are low. For example, if we standardize 1960's death rate on 2019's age pyramid, the 100yo deaths will be very unstable, because there are many 100yo in 2019 but the sample rate in 1960 is very low

@EidosGaming 2 года назад

@Anna 20 y.o - check my vidéó Thank you honey but can you put your pants back it's making me uncomfortable

@user-yg6rp1ou1u 8 месяцев назад

Get a bigger standard population, and apply it to all years, it will eliminate the horror of Decimals. That's in direct standardisation. Indirect standardisation is usually no challenge.

@harshakumari2923 Год назад

What if two population structures are similar, can we just accept the crude death rate?

@esperanzazagal7241 2 года назад

is it a great video? Of course it is.

@gregmartin 2 года назад

Thank you for the feedback.

@harishkumar-rs2nn Год назад

Sir i have a doubt in direct standardization in age 75 Single men population is less but the rate is high But in married men population is more but rate is less The doubt is for small population death rate is high the single men are at high risk right Another doubt is Crude mortality rate is low in single and age specific death rate is high in single can you clear my doubt pls 😢

@youtubepleasedonotcensorus4247 2 года назад

Age standarisation, and comorbility standarisation... and many other possible factors...

@joelmossong5776 Год назад

Great video, although probably worthwile mentioning that population data are not representative of Ireland. Not sure how you could fit 202 million on this island, it would risk sinking ;-) ...

@user-yg6rp1ou1u 8 месяцев назад

Abstract,

@maimahdi7373 2 года назад

Can you pleaaaaaaaaaaase do a video on epidemiological surveillance🙏🏽🙏🏽🙏🏽🙏🏽

@gregmartin 2 года назад

Will do 👍🏻👍🏻

@tmash509 2 года назад

That's a bit fast for calculations

@ta3iyoyo742 3 года назад

👏💙

@gregmartin 3 года назад

thanks :)

@bassamalsheakhly1889 2 года назад

WHY SPEAKING SO FAST ????

@zeravantaher3882 Год назад

3:53

@rasraster Год назад

Good content, too fast.

@gregmartin Год назад

I appreciate the feedback - thank you.

@C_R_O_M________ 2 года назад

I believe there's a mistake in the table for single men. Specifically at the cell for the age of 75, the rate should be 0.541 (64386/119000) not 0.323. And yes it's amazing how a small mistake in statistics can make a huge difference in our perception (because in subsequent calculations you used the wrong rate). Imagine if that small mistake of yours affected public policy and it wasn't actually that small.

@georgescucristian7319 4 месяца назад

i hope you can do better.... in table, at single man, age 75, the calculation of the rate is so wrong.... it reverse the sense of the story. this video is a good example of frequent mistakes!