Hello there,
I am trying to understand this code which produces this graph below
pauldickman.com/software/stata/age-standardise-standsurv.do
The x axis and corresponding value on the y axis - is the value for the 5 year survival for a age-standardised population at 5 years - ok
My question:
If the last value on the x axis is 1994....how is this predicting the 5 year survival for 1994, even if the data is only up until 1994, ie the data does not extend 5 years later i.e 1999...so of course we haven't given them enough time to fail.
Am I correct in saying this? Or perhaps that is the advantage with modelling, being able to predict when it has not yet happened ?
I am trying to understand this code which produces this graph below
pauldickman.com/software/stata/age-standardise-standsurv.do
The x axis and corresponding value on the y axis - is the value for the 5 year survival for a age-standardised population at 5 years - ok
My question:
If the last value on the x axis is 1994....how is this predicting the 5 year survival for 1994, even if the data is only up until 1994, ie the data does not extend 5 years later i.e 1999...so of course we haven't given them enough time to fail.
Am I correct in saying this? Or perhaps that is the advantage with modelling, being able to predict when it has not yet happened ?
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