Dear all, I have long format data. See example below.
I would like a variable "wanted" as shown in the example below. This is the medicine(s) that the patient took when the event of interest occured. Patients can get different medicine types A, B, C or D. The duration on each type of medicine is included. I want to keep the medicine(s) that gave the patient the event of interest. For example patient 1 got the event at time 6.2 when he was on medicine A with a duration of 6.299666, thus keep medicine A in the dataset (see variable wanted). Patient 3 got the event after he used medicine A,B and C because the total duration on medicine A+B+C was 45.299 months (19.032999+7.633+18.633) and he got the event in month 34, thus he had to be on medicine A, B and C (and not D). Patient 3 most likely switched to medicine D due to side effects.
How do I get this for all the patients in my dataset? Thanks in advance.
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I would like a variable "wanted" as shown in the example below. This is the medicine(s) that the patient took when the event of interest occured. Patients can get different medicine types A, B, C or D. The duration on each type of medicine is included. I want to keep the medicine(s) that gave the patient the event of interest. For example patient 1 got the event at time 6.2 when he was on medicine A with a duration of 6.299666, thus keep medicine A in the dataset (see variable wanted). Patient 3 got the event after he used medicine A,B and C because the total duration on medicine A+B+C was 45.299 months (19.032999+7.633+18.633) and he got the event in month 34, thus he had to be on medicine A, B and C (and not D). Patient 3 most likely switched to medicine D due to side effects.
How do I get this for all the patients in my dataset? Thanks in advance.
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Code:
* Example generated by -dataex-. For more info, type help dataex clear input float id byte event float dftime str1 medicine float duration str1 wanted 1 1 6.2 "A" 6.299666 "A" 1 1 6.2 "" . "" 1 1 6.2 "" . "" 1 1 6.2 "" . "" 1 1 6.2 "" . "" 2 1 3.3666666 "A" 29.866333 "A" 2 1 3.3666666 "B" 6.366333 "" 2 1 3.3666666 "C" 86.39967 "" 2 1 3.3666666 "D" 6.999667 "" 3 1 34.333332 "A" 19.032999 "A" 3 1 34.333332 "B" 7.633 "B" 3 1 34.333332 "C" 18.633 "C" 3 1 34.333332 "D" 77.09967 "" end

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