I need to calculate total time at risk for males and females separately for incidence rate denominator.
I have a variables 'time_major' in days which denotes time in days from T0 to outcome/death/loss to follow up.
What I dont know is how to get the total time_major for each sex and use it to get incidence rate per 100 person years.
The reason is that thhe sum of the total time for males and females cannot exceed the overall time_major.
I would help to provide some example data, fake is fine, that illustrates your starting point and what the desired outcome would be. The example data would be best as a data step we can execute and should provide examples of all the behaviors you expect in the data.
data b; set a;
input sex $ eventtype time;
m 1 3000
f 1 3996
f 1 285
m 2 4000
m 3 893
m 2 1000
m 2 3952
f 1 123
f 1 964
m 1 478
m 2 2789
note: eventtype: 1=contralateral major amputation (MAIN outcome of interest); 2=death; 3=migration from country
time is time to event (contralaterl major amputation/death/migration) from T0 (30 days after surviving a unilateral major amputation) in days
I want to calculate incidence of contralateral major amputation per 100 person years among males and females separately.
What I would like to know is if the total time in the incidence rate denominator is the sum of all times or the longest follow up time.
just need to know how to calculate the denominator for incidence rate.
I did this:
proc sort; by sex;
and it added up time ind ays for all females and males separately. is this correct?
Learn the difference between classical and Bayesian statistical approaches and see a few PROC examples to perform Bayesian analysis in this video.
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