great video. So how would the calculations differ if you used the population from the year 2000? You just wouldnt add the numbers across the row per age group?
it might be a silly question..but Sir in this example, is it the fact that actually single guys are dying more than the married men instead of the crude rates being higher for married men bcz of their greater denominator as total population..????
What if want to adjust for multiple factors like race, sex along with age. This manual method would become tedious as there would be many many tables. So how would we tackle this situation?
@@user-fo3ug3cr4m so as the "layers" or strata increase, we run into the "scarce cells" problem i.e. some cells will not have adequate counts. One way around this is to develop a regression model - this would be a multivariate regression taking into account varied features like sex, race etc.
@@anmolpardeshi3138 I am not that familiar with statistics jargon. Would I be able to calculate the mortality rate, like shown in the video with excel, while standardising another variable e.g. gender? Or do I need a regression as soon as there is more than variable?
@@user-fo3ug3cr4m I dont think there is set rule that, for example, more than one variable should rely on regression. I have done this method for 3 variables and it has worked although its a lot of effort.
We need to compare every age specific death rate in singles and married(nearly five comparisons) ....if we do direct standardization we can compare the single value(27.6 and 13.17)that we obtained at the end .
I wish I would have found you at the start of taking my epi class. Your videos provide so much clarity. Thank you.
Explained in very nice way without creating confusion! Awesome
and now i go into my exam with confidence, thank you so much!
Thank you Sir, you just saved my life!
thanx this video has helped me to clear up some of my blurred thoughts
Thank you for making and posting this. The pacing was good. Not too fast nor too slow.
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Lifesaver! Thank you!!
YOU ARE AMAZING! THANK YOU.
Thanks for the video. It has been helpful.
Thank you! I have complete confidence in completing my epidemiology assignment :D
am shocked,is that how to find standard population in standardization,
best explanation! thank you!
Waaaay better than my lecturer THANK YOU !
Thanks a lot.Very well explained
This is awesome!
Good explanation. Good job.
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super helpful! Thank you
Got a new subscriber :)
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Amazing video. Thanks alot
THANK YOU!! I could not find how to get expected mortality!
THANK YOU SO MUCH. I WAS CONFUSED AS TO HOW TO GET THE STANDARD POPULATION FROM TWO POPULATIONS.BUT NOW IGET
real helpful, thank you!
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well explained tx
Super Helpful.Thanks
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Thank you so much !
U r excellen...
THANK YOU! You solved a dilemma D:
Thanks! This helps.
Great.LOve it
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Thanks this was very good
great video. So how would the calculations differ if you used the population from the year 2000? You just wouldnt add the numbers across the row per age group?
nice.. very helpful
that was really helpful
Thank you
thank you
Thanks alot.
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nicely explained
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Ty
Helpful.thanks sir
Thank you alot
how to calculate confidence interval for adjusted figure?
good, dude
thanks
Well expplain well understood.Thanks
thank you ..
Thank u :)
thank u
do not need to multiply by 1000 when dividing population by number of deaths...
Is there a video of this same ages and population but solved using indirect method?
very nice, just need to know, are you a doctor
it might be a silly question..but Sir in this example, is it the fact that actually single guys are dying more than the married men instead of the crude rates being higher for married men bcz of their greater denominator as total population..????
How did you get the 8.09 and 17.26?
Hello. that was great. Could you show us how to calculate demographic mortality prospective data further 19 years, please? Thank you for your time.
asante
What if want to adjust for multiple factors like race, sex along with age. This manual method would become tedious as there would be many many tables. So how would we tackle this situation?
I have the same problem. Did you figure it out?
@@user-fo3ug3cr4m so as the "layers" or strata increase, we run into the "scarce cells" problem i.e. some cells will not have adequate counts. One way around this is to develop a regression model - this would be a multivariate regression taking into account varied features like sex, race etc.
@@anmolpardeshi3138 I am not that familiar with statistics jargon.
Would I be able to calculate the mortality rate, like shown in the video with excel, while standardising another variable e.g. gender? Or do I need a regression as soon as there is more than variable?
@@user-fo3ug3cr4m I dont think there is set rule that, for example, more than one variable should rely on regression. I have done this method for 3 variables and it has worked although its a lot of effort.
@@anmolpardeshi3138 Do you know a video that shows this procedure? Or do you have your calculations?
I couldn't find anything on the internet.
Why not just compare age specific death rates anyways we need those in calculating standardized rates
We need to compare every age specific death rate in singles and married(nearly five comparisons) ....if we do direct standardization we can compare the single value(27.6 and 13.17)that we obtained at the end .
His match equation is totaly off! You dont need to multiply by 1000! It gives the wrong number!!
HAHAHAHAHHAHAHAHA DON'T GET MARRIED BOYS
lost me at step 2...
Lol
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thank you