Age standardised mortality rate

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.
Thanks to the University of Limerick for their support. Check out their MSc Public Health here: www.ul.ie/gps/...
Join this channel to get access to perks:
/ @gregmartin
This channel posts global health and public health teaching videos and videos about how to find the right job in global health. If you haven't already, please consider subscribing to this channel and becoming part of this community.
SUBSCRIBE:
--------------------
Click here: www.youtube.co...
LETS CONNECT:
---------------------------
Twitter: @drgregmartin
Linkedin: / drgregmartin
Facebook: / thisweekinglobalhealth

[@gregmartin]

Get my FREE cheat sheets for Public Health, Epidemiology, Research Methods and Statistics (including transcripts of these lessons) here: www.learnmore365.com/courses/public-health-epidemiology-research-methods-and-statistics-resource-library

[@alreemal-naimi8041]

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]

Thank you for your kind words, and happy learning!

[@melissaurena7331]

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

[@harshakumari2923]

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

[@joelmossong5776]

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]

Abstract,

[@hassansci2436]

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]

Glad you liked it, thanks

[@AmrFleifle]

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

[@gregmartin]

So kind of you. Thanks

[@jeffreyrobens1667]

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

[@hajraadil1091]

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

[@gregmartin]

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

[@lauren0080]

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]

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!

[@bassamalsheakhly1889]

WHY SPEAKING SO FAST ????

[@earlofopsis1307]

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

[@tmash509]

That's a bit fast for calculations

[@georgescucristian7319]

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!

[@harishkumar-rs2nn]

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 😢

[@Buck90]

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

[@parisaramhormozi2206]

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

[@rishikakushwaha3716]

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?

[@elrond2362]

This video was very helpful.Thank you man

[@ephraimduke]

Thank you very useful stuff . Boomshakalaka 😄

[@gregmartin]

haha -thanks for the feedback !!

[@kanchanaerandijayamanna3569]

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

[@gregmartin]

Glad to hear that, thanks for the feedback.

[@gootube88]

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

[@gregmartin]

Thanks Dave!!

[@dj1jesus375]

Excellent explanations, thank you!

[@gregmartin]

You're very welcome!

[@fatmahasan6662]

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]

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

[@yuichan6667]

字幕で読んでも意味がわかりません、わかりにくいです

[@esperanzazagal7241]

is it a great video? Of course it is.

[@gregmartin]

Thank you for the feedback.

[@xcastcastone9007]

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]

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

[@Himalayanfalcon]

Very informative, you removed all my confusions 😊😊

[@gregmartin]

Glad it was helpful! Thanks for your amazing feedback!

[@user-fo3ug3cr4m]

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]

thanks - will see what I can do.

[@cdhcentrodecrescimento3096]

Warmest congratulations on your presentation. Luiz Abreu, Brazil.

[@gregmartin]

Thank you very much!

[@rosmcdermott8426]

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

[@gregmartin]

Happy to help! You are so welcome!

[@melonie_peppers]

doing DPS at Wits 🎉🎉

[@abbymeri8270]

Thank you for sharing. You are a life saver 🌺

[@gregmartin]

glad you liked the video... :)

[@piyalisarkar8111]

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

[@johnpatroshoes]

Lmao boomshakalaka

[@Lol-ud7oc]

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

[@JohnnyLt]

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

[@raedmohammed246]

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

[@4BIDDEN.SECRETS]

WOW 😳

[@jmsule9367]

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

[@gregmartin]

So nice of you

[@gregmartin]

So nice of you

[@georgie66549]

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]

Glad it was helpful!

[@zeravantaher3882]

3:53

[@EidosGaming]

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]

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

[@user-yg6rp1ou1u]

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.

[@robbinburns6329]

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]

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

[@sandhuparminder2584]

I want to take your help in my epidermiology course

[@ta3iyoyo742]

👏💙

[@gregmartin]

thanks :)

[@DavidD-y9p]

amazingly concise and fun. Thank you so much!!

[@KendallKnaus]

thank you from Texas

[@gregmartin]

You’re welcome

[@김지원-q8p]

You are a life savior

[@gregmartin]

Thank you!

[@sandra25]

new sub, thanks loads

[@gregmartin]

Thank you for subscribing!

[@rasraster]

Good content, too fast.

[@gregmartin]

I appreciate the feedback - thank you.

[@1rrrrrrrrrrr544f]

Good job bro!

[@gregmartin]

Thanks!!

[@kozhyarazad4024]

Thanks alot❤

[@gregmartin]

Always welcome, thanks too for watching!

[@lordma0024]

Thankksssssss🌷

[@gregmartin]

Thanks for watching

[@jallahkennedy8298]

Thanks. Good explanation.

[@maimahdi7373]

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

[@gregmartin]

Will do 👍🏻👍🏻

[@bobbyjaan5664]

Congrats man you've gained a follower❤

[@danielleraso5419]

Wow this is an amazingly helpful video

[@gregmartin]

Glad it was helpful! Thanks.

[@MrNasking09]

Greg good work

[@MPHEBRiri]

I LOVE EPIDEMIOLOGY NOW _ THANK YOU

[@MPHEBRiri]

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

[@moism]

Thank you, this is awesome!

[@gregmartin]

Thanks for watching!

[@StatisticsGlobe]

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

[@C_R_O_M________]

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.

[@mohamedmarie2416]

Brilliant

[@gregmartin]

Thanks

[@youtubepleasedonotcensorus4247]

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

[@CREAOOfficial]

Finally, I found the video of the millennium! 🥹