Hi, this is my first time attempting to run a KM curve in SAS. I apologize in advance if my questions are not well structured. We need to produce a KM curve for cumulative incidence from age at which subjects started treatment(Age_trt) to when they presented their first respiratory emergency (Event_age). This needs to be stratified by group1 and group2. This is the raw dataset: data have; input ID Lastage group1 group2 Age_trt Event_age; datalines; 1 12 0 1 2 4 2 13 0 1 4 6 3 11 1 0 3 7 4 12 1 0 2 . 5 14 0 1 2 . 6 12 1 0 7 9 7 11 1 0 1 6 8 14 0 1 3 . 9 13 1 0 3 . 10 13 0 1 5 8 ; run; From what I gathered a "censored" variable is needed to run proc lifetest. data for_test; input ID Lastage group1 group2 Age_trt Event_age Censoring_status; datalines; 1 12 0 1 4 1 2 13 0 1 6 1 3 11 1 0 7 1 4 12 1 0 . 0 5 14 0 1 . 0 6 12 1 0 9 1 7 11 1 0 6 1 8 14 0 1 . 0 9 13 1 0 . 0 10 13 0 1 8 1 ; run; I am not sure how the group variable should be transformed and if so how. I am not sure how the code will need to be adapted to show the cumulative incidence instead of the more common survival analysis? ... View more

This is sample of a dataset in the long format: ID age 1 131 1 0 1 0 2 22 2 76 3 0 3 48 3 48 3 3   We then ran the following to get the frequencies of every ID by age  proc freq data=dsin; table ID*age; run; And the output looks like:   age           ID 0 3 22 48 76 131 1 2 0 0 0 0 1 2 0 0 1 0 1 0 3 1 1 0 2 0 0 But now we also need to get the cumulative number of people who had an incident up until every age. The tricky part is that once a person has an incident and it is accounted for, if this person has incidents after that, it doesn't contribute to increasing the count anymore. Let's say for ID3 it presents an incident at age 0, 3 and 48. But this person can only contributes to the count at age 0. And also, if they have more than one incident at the same age, it counts as 1. The output should look like this: Age  Cumulative 0 2 3 2 22 3 48 3 76 3 131 3   ... View more