Uri wrote:
In an epidemiological study where we follow up very old individuals the
importance of time till event (say, mortality) pales in comparison to the
actual age of the individual when the endpoint event occurred. Using stcox
(for example) we would seek to estimate the event hazard ratios associated
with several predictors. In a cohort which spans over a meaningful age range
the age when the event occurs rather than how long it took to occur since
that person entered follow up which will matter. So instead of the later the
better we would like to say the older the better.
What is the accurate way to stset the data so that age at event(assuming of
course it is included for each event) become the time variable?
===============================================================
You can make age the time axis:
stset endage , enter(time begage) failure(died==1) id(id)
where -begage- is the age at entry and -endage- the age at death
or censoring.
hth
Svend
________________________________________________________
Svend Juul
Institut for Folkesundhed, Afdeling for Epidemiologi
(Institute of Public Health, Department of Epidemiology)
Vennelyst Boulevard 6
DK-8000 Aarhus C, Denmark
Phone, work: +45 8942 6090
Phone, home: +45 8693 7796
Fax: +45 8613 1580
E-mail: [email protected]
_________________________________________________________
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