Mohammed El Faramawi wrote:
I am trying to calculate the incidence rate ratio(IRR)
for a categorical variable ( Mortality) which has
two categories only ( dead or alive) in a probability
weighted sample. I am also trying to adjust for
covariates. I know that poisson regression can be used
to calculate (IRR) and adjust for covariates given
that the outcome is a count for example the number of
deaths, number stroke attacks, etc . My question is
what regression should I use in such a situation i.e
outcome which is not count.Can I still use poisson
regression which I doubt it?? Thank you
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You can use the -poisson- command with individual or aggregated data;
the examples in the manual and the help file are with aggregated data,
but the command works fine with individual data, coded 1 for dead and
0 for alive. To estimate the incidence rate ratio, each individual's
time at risk should also be recorded, here as the variable -risktime-.
Example:
. poisson died x1 x2 x3, exposure(risktime) irr
Hope this helps,
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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