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.
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..????
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! I have complete confidence in completing my epidemiology assignment :D
am shocked,is that how to find standard population in standardization,
thanx this video has helped me to clear up some of my blurred thoughts
do not need to multiply by 1000 when dividing population by number of deaths...
Waaaay better than my lecturer THANK YOU !
ur explanation is awesome ........ ur so helpful to me.......... tq so much...... 👍
Thank you Sir, you just saved my life!
Excellent sir
Thank you for making and posting this. The pacing was good. Not too fast nor too slow.
Is there a video of this same ages and population but solved using indirect method?
THANK YOU SO MUCH. I WAS CONFUSED AS TO HOW TO GET THE STANDARD POPULATION FROM TWO POPULATIONS.BUT NOW IGET
You Are the best
THANK YOU!! I could not find how to get expected mortality!
Amazing video. Thanks alot
thanks this helps me so much
Lifesaver! Thank you!!
Thanks for the video. It has been helpful.
Good explanation. Good job.
thank you so much!! very clear explanation
thank you for good presentation
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.
super awesome! you're a life saver!
You are amazing
Thanks a lot.Very well explained
thank u so much... it saved my life
How did you get the 8.09 and 17.26?
Super Helpful.Thanks
YOU ARE AMAZING! THANK YOU.
nice.. very helpful
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?
U r excellen...
best explanation! thank you!
This is awesome!
THANK YOU SO MUCH! VERY HELPFUL!
Thanks alot.
nicely explained
thank you so much. this is so helpful!!
very nice, just need to know, are you a doctor
Helpful.thanks sir
Ty
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..????
super helpful! Thank you
Got a new subscriber :)
thanks for the help
well explained tx
Youa are the best
how to calculate confidence interval for adjusted figure?
Thanks this was very good
good job
THANK YOU! You solved a dilemma D:
Thank you so much !
real helpful, thank you!
that was really helpful
thank you
brilliant, thanks a ton!
Great.LOve it
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 .
Thank you alot
good, dude
Well expplain well understood.Thanks
Thanks! This helps.
Hello. that was great. Could you show us how to calculate demographic mortality prospective data further 19 years, please? Thank you for your time.
thanks
thank you ..
Thank u :)
best 😍😍
His match equation is totaly off! You dont need to multiply by 1000! It gives the wrong number!!
lost me at step 2...
HAHAHAHAHHAHAHAHA DON'T GET MARRIED BOYS
asante
i like it your pdf pls give me ur other
material by email
Lol
ur explanation is awesome ........ ur so helpful to me.......... tq so much...... 👍
Thank you
thank u
thank you