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Pyrite | Level 9
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Posted 01-11-2024 09:05 AM
(1195 views)
Hello,
I have created a new post based off my previous post to give full context to my issue as I had oversimplified previously.
So I have an imputation method I need to apply to an ADQS dataset for a questionnaire called the EORTC QLQ-C30. The EORTC QLQ-C30 is a standardized questionnaire for assessing the quality of life in cancer patients. It measures various health-related aspects, including symptoms, functional capabilities, and overall well-being, across 30 items.
The imputation method is
" Handling of intercurrent events:
Death will be considered a treatment failure/deterioration in assessment of global health status and functional subscales of the EORTC QLQ-C30. Missing data (global health status and functional EORTC QLQ-C30 scores) recorded after the intercurrent event will be penalized, i.e., imputed/substituted by zeros (which is the lowest possible score), until the time point in which 10% of subjects are still on treatment."
So for this section " until the time point in which 10% of subjects are still on treatment." we have a list of AVISIT/AVISITN
data visits; input AVISIT :$20. AVISITN 8.; infile datalines dlm = '|'; datalines; Cycle 2 Day 1|201 Cycle 3 Day 1|301 Cycle 4 Day 1|401 Cycle 5 Day 1|501 Cycle 6 Day 1|601 Cycle 7 Day 1|701 Cycle 8 Day 1|801 Cycle 9 Day 1|901 Cycle 10 Day 1|1001 Cycle 11 Day 1|1101 Cycle 12 Day 1|1201 Cycle 13 Day 1|1301 Cycle 14 Day 1|1401 Cycle 15 Day 1|1501 Cycle 16 Day 1|1601 Cycle 17 Day 1|1701 Cycle 18 Day 1|1801 Cycle 19 Day 1|1901 Cycle 20 Day 1|2001 Cycle 21 Day 1|2101 Cycle 22 Day 1|2201 Cycle 23 Day 1|2301 Cycle 24 Day 1|2401 Cycle 25 Day 1|2501 Cycle 26 Day 1|2601 Cycle 27 Day 1|2701 Cycle 28 Day 1|2801 Cycle 29 Day 1|2901 Cycle 30 Day 1|3001 Cycle 31 Day 1|3101 Cycle 32 Day 1|3201 Cycle 33 Day 1|3301 Cycle 34 Day 1|3401 Cycle 35 Day 1|3501 Cycle 36 Day 1|3601 Cycle 37 Day 1|3701 Cycle 38 Day 1|3801 Cycle 39 Day 1|3901 End of Treatment|9001 40-Day Follow-up|9002 ; run;
and when I apply this code
/* Step 1: Create a flag for ADT > TRTEDT */
data flagged_data;
set adqs;
if index(upcase(AVISIT), 'CYCLE') > 0 then do; /* Checks if 'AVISIT' contains 'Cycle' */
if ADT <= TRTEDT then flag = 1;
else flag = 0;
output; /* Output only the records with 'AVISIT' containing 'Cycle' */
end;
run;
proc sql;
create table cycle_summary as
select distinct a.avisit,
a.avisitn, a.ady,
sum(a.flag) as num_meeting_condition,
first_visit.total_assessments_at_first_visit as total_assessments_at_start,
(sum(a.flag) / first_visit.total_assessments_at_first_visit) * 100 as proportion_of_first_visit,
count(distinct a.usubjid) as subjects_at_visit,
total_subjects.total_count as total_subjects_at_start,
(count(distinct a.usubjid) / total_subjects.total_count) * 100 as percent_remaining
from flagged_data a
/* Join with subquery to get the total assessments at the first visit */
cross join (select count(*) as total_assessments_at_first_visit
from flagged_data
where avisitn = (select min(avisitn) from flagged_data)) as first_visit
/* Join with subquery to get the total subjects at the start */
cross join (select count(distinct usubjid) as total_count
from flagged_data) as total_subjects
/* Ensure that the groups are ordered and filtered according to the percentage criterion */
group by a.avisit, a.avisitn
having (count(distinct case when a.flag=1 then a.usubjid else " " end) / total_subjects.total_count) * 100 >= 10
order by a.avisitn desc;
quit;
/* New DATA step to apply formats */
data cycle_summary_formatted;
set cycle_summary;
format proportion_of_first_visit 8.2
percent_remaining 8.2;
run;
/* Step 3: Identify the last cycle with >= 10% */
proc sort data=cycle_summary_formatted out=cycle_summary_sorted;
by descending avisitn;
run;
data _null_;
set cycle_summary_sorted;
where proportion_of_first_visit >= 10;
if _N_ = 1 then do;
call symputx('last_cycle_avisit', avisit);
call symputx('last_cycle_avisitn', avisitn);
end;
run;
/* Now, :last_cycle_avisit contains the last AVISIT and :last_cycle_avisitn contains the last AVISITN meeting the condition */
%put Last AVISIT: &last_cycle_avisit;
%put Last AVISITN: &last_cycle_avisitn;
and we get a value of Cycle 26 Day 1/2601 for AVISIT/AVISITN.
For this section "Missing data (global health status and functional EORTC QLQ-C30 scores) recorded after the intercurrent event will be penalized, i.e., imputed/substituted by zeros (which is the lowest possible score)" Global health status and functional EORTC QLQ-C30 scores are all records where PARCAT2 = 'GOLBAL HEALTH STATUS' or 'FUNCTIONAL SCALES'. So if I ran this code
proc sql;
create table distinct_values as
select distinct param, paramcd
from qs00
where upcase(parcat2) in ('GLOBAL HEALTH STATUS', 'FUNCTIONAL SCALES');
quit;I would get this data
data distinct_values; input PARAM :$30. PARAMCD $3.; infile datalines dlm = '|'; datalines; EORTC QLQ-C30 Cognitive Functioning|CF EORTC QLQ-C30 Emotional Functioning|EF EORTC QLQ-C30 Global Health Status|QL2 EORTC QLQ-C30 Physical Functioning|PF2 EORTC QLQ-C30 Role Functioning|RF2 EORTC QLQ-C30 Social Functioning|SF ; run;
So the below have and want datasets are a sample of what I need for every subsection of param/paramcd where upcase(parcat2) in ('GLOBAL HEALTH STATUS', 'FUNCTIONAL SCALES');
up to &last_cycle_avisitn where DTHFL='Y'. for subjects that didn't die I need to keep as is and ultimately have a dataset containing all records with the imputed records added that satisy this criteria
data have;
input USUBJID $ TRTSDT :date9. TRTEDT :date9. DTHFL $ AVISIT :$20. AVISITN :8. ADT :date9.
PARAM :$40. PARAMCD :$5. PARCAT2 :$30. AVAL :8. BASE :8. CHG :8.;
format TRTSDT TRTEDT ADT date9.;
infile datalines dlm = '|';
datalines;
1001|17DEC2021|16SEP2022|Y|Cycle 2 Day 1|201|07JAN2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|83.333333333|83.333333333|0|
1001|17DEC2021|16SEP2022|Y|Cycle 3 Day 1|301|27JAN2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|50|83.333333333|-33.33333333|
1001|17DEC2021|16SEP2022|Y|Cycle 4 Day 1|401|18FEB2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|50|83.333333333|-33.33333333|
1001|17DEC2021|16SEP2022|Y|Cycle 5 Day 1|501|11MAR2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|66.666666667|83.333333333|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 6 Day 1|601|01APR2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|66.666666667|83.333333333|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 7 Day 1|701|21APR2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|66.666666667|83.333333333|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 8 Day 1|801|13MAY2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|83.333333333|83.333333333|0|
1001|17DEC2021|16SEP2022|Y|Cycle 9 Day 1|901|02JUN2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|66.666666667|83.333333333|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 10 Day 1|1001|24JUN2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|66.666666667|83.333333333|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 11 Day 1|1101|14JUL2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|66.666666667|83.333333333|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 12 Day 1|1201|05AUG2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|66.666666667|83.333333333|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 13 Day 1|1301|25AUG2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|66.666666667|83.333333333|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 14 Day 1|1401|16SEP2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|66.666666667|83.333333333|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 2 Day 1|201|07JAN2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|91.666666667|75|16.666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 3 Day 1|301|27JAN2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|75|75|0|
1001|17DEC2021|16SEP2022|Y|Cycle 4 Day 1|401|18FEB2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|66.666666667|75|-8.333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 5 Day 1|501|11MAR2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|83.333333333|75|8.3333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 6 Day 1|601|01APR2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|83.333333333|75|8.3333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 7 Day 1|701|21APR2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|75|75|0|
1001|17DEC2021|16SEP2022|Y|Cycle 8 Day 1|801|13MAY2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|75|75|0|
1001|17DEC2021|16SEP2022|Y|Cycle 9 Day 1|901|02JUN2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|75|75|0|
1001|17DEC2021|16SEP2022|Y|Cycle 10 Day 1|1001|24JUN2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|83.333333333|75|8.3333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 11 Day 1|1101|14JUL2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|83.333333333|75|8.3333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 12 Day 1|1201|05AUG2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|58.333333333|75|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 13 Day 1|1301|25AUG2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|83.333333333|75|8.3333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 14 Day 1|1401|16SEP2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|75|75|0|
1001|17DEC2021|16SEP2022|Y|Cycle 2 Day 1|201|07JAN2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|66.666666667|60|6.6666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 3 Day 1|301|27JAN2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|73.333333333|60|13.333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 4 Day 1|401|18FEB2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|80|60|20|
1001|17DEC2021|16SEP2022|Y|Cycle 5 Day 1|501|11MAR2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|66.666666667|60|6.6666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 6 Day 1|601|01APR2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|66.666666667|60|6.6666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 7 Day 1|701|21APR2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|60|60|0|
1001|17DEC2021|16SEP2022|Y|Cycle 8 Day 1|801|13MAY2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|80|60|20|
1001|17DEC2021|16SEP2022|Y|Cycle 9 Day 1|901|02JUN2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|60|60|0|
1001|17DEC2021|16SEP2022|Y|Cycle 10 Day 1|1001|24JUN2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|60|60|0|
1001|17DEC2021|16SEP2022|Y|Cycle 11 Day 1|1101|14JUL2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|60|60|0|
1001|17DEC2021|16SEP2022|Y|Cycle 12 Day 1|1201|05AUG2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|60|60|0|
1001|17DEC2021|16SEP2022|Y|Cycle 13 Day 1|1301|25AUG2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|66.666666667|60|6.6666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 14 Day 1|1401|16SEP2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|66.666666667|60|6.6666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 2 Day 1|201|07JAN2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|75|25|50|
1001|17DEC2021|16SEP2022|Y|Cycle 3 Day 1|301|27JAN2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|66.666666667|25|41.666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 4 Day 1|401|18FEB2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|58.333333333|25|33.333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 5 Day 1|501|11MAR2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|41.666666667|25|16.666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 6 Day 1|601|01APR2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|50|25|25|
1001|17DEC2021|16SEP2022|Y|Cycle 7 Day 1|701|21APR2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|50|25|25|
1001|17DEC2021|16SEP2022|Y|Cycle 8 Day 1|801|13MAY2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|66.666666667|25|41.666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 9 Day 1|901|02JUN2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|58.333333333|25|33.333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 10 Day 1|1001|24JUN2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|58.333333333|25|33.333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 11 Day 1|1101|14JUL2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|33.333333333|25|8.3333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 12 Day 1|1201|05AUG2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|50|25|25|
1001|17DEC2021|16SEP2022|Y|Cycle 13 Day 1|1301|25AUG2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|66.666666667|25|41.666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 14 Day 1|1401|16SEP2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|50|25|25|
;
run;
data want;
input USUBJID $ TRTSDT :date9. TRTEDT :date9. DTHFL $ AVISIT :$20. AVISITN :8. ADT :date9.
PARAM :$40. PARAMCD :$5. PARCAT2 :$30. AVAL :8. BASE :8. CHG :8.;
format TRTSDT TRTEDT ADT date9.;
infile datalines dlm = '|';
datalines;
1001|17DEC2021|16SEP2022|Y|Cycle 2 Day 1|201|07JAN2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|83.333333333|83.333333333|0|
1001|17DEC2021|16SEP2022|Y|Cycle 3 Day 1|301|27JAN2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|50|83.333333333|-33.33333333|
1001|17DEC2021|16SEP2022|Y|Cycle 4 Day 1|401|18FEB2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|50|83.333333333|-33.33333333|
1001|17DEC2021|16SEP2022|Y|Cycle 5 Day 1|501|11MAR2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|66.666666667|83.333333333|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 6 Day 1|601|01APR2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|66.666666667|83.333333333|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 7 Day 1|701|21APR2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|66.666666667|83.333333333|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 8 Day 1|801|13MAY2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|83.333333333|83.333333333|0|
1001|17DEC2021|16SEP2022|Y|Cycle 9 Day 1|901|02JUN2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|66.666666667|83.333333333|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 10 Day 1|1001|24JUN2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|66.666666667|83.333333333|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 11 Day 1|1101|14JUL2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|66.666666667|83.333333333|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 12 Day 1|1201|05AUG2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|66.666666667|83.333333333|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 13 Day 1|1301|25AUG2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|66.666666667|83.333333333|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 14 Day 1|1401|16SEP2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|66.666666667|83.333333333|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 15 Day 1|1501| |EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|0|83.333333333|-83.333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 16 Day 1|1601| |EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|0|83.333333333|-83.333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 17 Day 1|1701| |EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|0|83.333333333|-83.333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 18 Day 1|1801| |EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|0|83.333333333|-83.333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 19 Day 1|1901| |EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|0|83.333333333|-83.333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 20 Day 1|2001| |EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|0|83.333333333|-83.333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 21 Day 1|2101| |EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|0|83.333333333|-83.333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 22 Day 1|2201| |EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|0|83.333333333|-83.333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 23 Day 1|2301| |EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|0|83.333333333|-83.333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 24 Day 1|2401| |EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|0|83.333333333|-83.333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 25 Day 1|2501| |EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|0|83.333333333|-83.333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 26 Day 1|2601| |EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|0|83.333333333|-83.333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 2 Day 1|201|07JAN2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|91.666666667|75|16.666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 3 Day 1|301|27JAN2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|75|75|0|
1001|17DEC2021|16SEP2022|Y|Cycle 4 Day 1|401|18FEB2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|66.666666667|75|-8.333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 5 Day 1|501|11MAR2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|83.333333333|75|8.3333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 6 Day 1|601|01APR2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|83.333333333|75|8.3333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 7 Day 1|701|21APR2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|75|75|0|
1001|17DEC2021|16SEP2022|Y|Cycle 8 Day 1|801|13MAY2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|75|75|0|
1001|17DEC2021|16SEP2022|Y|Cycle 9 Day 1|901|02JUN2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|75|75|0|
1001|17DEC2021|16SEP2022|Y|Cycle 10 Day 1|1001|24JUN2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|83.333333333|75|8.3333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 11 Day 1|1101|14JUL2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|83.333333333|75|8.3333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 12 Day 1|1201|05AUG2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|58.333333333|75|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 13 Day 1|1301|25AUG2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|83.333333333|75|8.3333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 14 Day 1|1401|16SEP2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|75|75|0|
1001|17DEC2021|16SEP2022|Y|Cycle 15 Day 1|1501| |EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|0|75|-75|
1001|17DEC2021|16SEP2022|Y|Cycle 16 Day 1|1601| |EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|0|75|-75|
1001|17DEC2021|16SEP2022|Y|Cycle 17 Day 1|1701| |EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|0|75|-75|
1001|17DEC2021|16SEP2022|Y|Cycle 18 Day 1|1801| |EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|0|75|-75|
1001|17DEC2021|16SEP2022|Y|Cycle 19 Day 1|1901| |EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|0|75|-75|
1001|17DEC2021|16SEP2022|Y|Cycle 20 Day 1|2001| |EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|0|75|-75|
1001|17DEC2021|16SEP2022|Y|Cycle 21 Day 1|2101| |EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|0|75|-75|
1001|17DEC2021|16SEP2022|Y|Cycle 22 Day 1|2201| |EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|0|75|-75|
1001|17DEC2021|16SEP2022|Y|Cycle 23 Day 1|2301| |EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|0|75|-75|
1001|17DEC2021|16SEP2022|Y|Cycle 24 Day 1|2401| |EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|0|75|-75|
1001|17DEC2021|16SEP2022|Y|Cycle 25 Day 1|2501| |EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|0|75|-75|
1001|17DEC2021|16SEP2022|Y|Cycle 26 Day 1|2601| |EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|0|75|-75|
1001|17DEC2021|16SEP2022|Y|Cycle 2 Day 1|201|07JAN2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|66.666666667|60|6.6666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 3 Day 1|301|27JAN2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|73.333333333|60|13.333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 4 Day 1|401|18FEB2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|80|60|20|
1001|17DEC2021|16SEP2022|Y|Cycle 5 Day 1|501|11MAR2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|66.666666667|60|6.6666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 6 Day 1|601|01APR2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|66.666666667|60|6.6666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 7 Day 1|701|21APR2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|60|60|0|
1001|17DEC2021|16SEP2022|Y|Cycle 8 Day 1|801|13MAY2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|80|60|20|
1001|17DEC2021|16SEP2022|Y|Cycle 9 Day 1|901|02JUN2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|60|60|0|
1001|17DEC2021|16SEP2022|Y|Cycle 10 Day 1|1001|24JUN2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|60|60|0|
1001|17DEC2021|16SEP2022|Y|Cycle 11 Day 1|1101|14JUL2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|60|60|0|
1001|17DEC2021|16SEP2022|Y|Cycle 12 Day 1|1201|05AUG2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|60|60|0|
1001|17DEC2021|16SEP2022|Y|Cycle 13 Day 1|1301|25AUG2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|66.666666667|60|6.6666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 14 Day 1|1401|16SEP2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|66.666666667|60|6.6666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 15 Day 1|1501| |EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|0|60|-60|
1001|17DEC2021|16SEP2022|Y|Cycle 16 Day 1|1601| |EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|0|60|-60|
1001|17DEC2021|16SEP2022|Y|Cycle 17 Day 1|1701| |EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|0|60|-60|
1001|17DEC2021|16SEP2022|Y|Cycle 18 Day 1|1801| |EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|0|60|-60|
1001|17DEC2021|16SEP2022|Y|Cycle 19 Day 1|1901| |EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|0|60|-60|
1001|17DEC2021|16SEP2022|Y|Cycle 20 Day 1|2001| |EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|0|60|-60|
1001|17DEC2021|16SEP2022|Y|Cycle 21 Day 1|2101| |EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|0|60|-60|
1001|17DEC2021|16SEP2022|Y|Cycle 22 Day 1|2201| |EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|0|60|-60|
1001|17DEC2021|16SEP2022|Y|Cycle 23 Day 1|2301| |EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|0|60|-60|
1001|17DEC2021|16SEP2022|Y|Cycle 24 Day 1|2401| |EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|0|60|-60|
1001|17DEC2021|16SEP2022|Y|Cycle 25 Day 1|2501| |EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|0|60|-60|
1001|17DEC2021|16SEP2022|Y|Cycle 26 Day 1|2601| |EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|0|60|-60|
1001|17DEC2021|16SEP2022|Y|Cycle 2 Day 1|201|07JAN2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|75|25|50|
1001|17DEC2021|16SEP2022|Y|Cycle 3 Day 1|301|27JAN2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|66.666666667|25|41.666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 4 Day 1|401|18FEB2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|58.333333333|25|33.333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 5 Day 1|501|11MAR2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|41.666666667|25|16.666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 6 Day 1|601|01APR2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|50|25|25|
1001|17DEC2021|16SEP2022|Y|Cycle 7 Day 1|701|21APR2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|50|25|25|
1001|17DEC2021|16SEP2022|Y|Cycle 8 Day 1|801|13MAY2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|66.666666667|25|41.666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 9 Day 1|901|02JUN2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|58.333333333|25|33.333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 10 Day 1|1001|24JUN2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|58.333333333|25|33.333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 11 Day 1|1101|14JUL2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|33.333333333|25|8.3333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 12 Day 1|1201|05AUG2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|50|25|25|
1001|17DEC2021|16SEP2022|Y|Cycle 13 Day 1|1301|25AUG2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|66.666666667|25|41.666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 14 Day 1|1401|16SEP2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|50|25|25|
1001|17DEC2021|16SEP2022|Y|Cycle 15 Day 1|1501| |EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|0|25|-25|
1001|17DEC2021|16SEP2022|Y|Cycle 16 Day 1|1601| |EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|0|25|-25|
1001|17DEC2021|16SEP2022|Y|Cycle 17 Day 1|1701| |EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|0|25|-25|
1001|17DEC2021|16SEP2022|Y|Cycle 18 Day 1|1801| |EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|0|25|-25|
1001|17DEC2021|16SEP2022|Y|Cycle 19 Day 1|1901| |EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|0|25|-25|
1001|17DEC2021|16SEP2022|Y|Cycle 20 Day 1|2001| |EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|0|25|-25|
1001|17DEC2021|16SEP2022|Y|Cycle 21 Day 1|2101| |EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|0|25|-25|
1001|17DEC2021|16SEP2022|Y|Cycle 22 Day 1|2201| |EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|0|25|-25|
1001|17DEC2021|16SEP2022|Y|Cycle 23 Day 1|2301| |EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|0|25|-25|
1001|17DEC2021|16SEP2022|Y|Cycle 24 Day 1|2401| |EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|0|25|-25|
1001|17DEC2021|16SEP2022|Y|Cycle 25 Day 1|2501| |EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|0|25|-25|
1001|17DEC2021|16SEP2022|Y|Cycle 26 Day 1|2601| |EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|0|25|-25|
;
run;
1 ACCEPTED SOLUTION
Accepted Solutions
Onyx | Level 15
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like that:
data visits;
input AVISIT :$20. AVISITN 8.;
infile datalines dlm = '|';
datalines;
Cycle 2 Day 1|201
Cycle 3 Day 1|301
Cycle 4 Day 1|401
Cycle 5 Day 1|501
Cycle 6 Day 1|601
Cycle 7 Day 1|701
Cycle 8 Day 1|801
Cycle 9 Day 1|901
Cycle 10 Day 1|1001
Cycle 11 Day 1|1101
Cycle 12 Day 1|1201
Cycle 13 Day 1|1301
Cycle 14 Day 1|1401
Cycle 15 Day 1|1501
Cycle 16 Day 1|1601
Cycle 17 Day 1|1701
Cycle 18 Day 1|1801
Cycle 19 Day 1|1901
Cycle 20 Day 1|2001
Cycle 21 Day 1|2101
Cycle 22 Day 1|2201
Cycle 23 Day 1|2301
Cycle 24 Day 1|2401
Cycle 25 Day 1|2501
Cycle 26 Day 1|2601
Cycle 27 Day 1|2701
Cycle 28 Day 1|2801
Cycle 29 Day 1|2901
Cycle 30 Day 1|3001
Cycle 31 Day 1|3101
Cycle 32 Day 1|3201
Cycle 33 Day 1|3301
Cycle 34 Day 1|3401
Cycle 35 Day 1|3501
Cycle 36 Day 1|3601
Cycle 37 Day 1|3701
Cycle 38 Day 1|3801
Cycle 39 Day 1|3901
End of Treatment|9001
40-Day Follow-up|9002
;
run;
data have;
input USUBJID $ TRTSDT :date9. TRTEDT :date9. DTHFL $ AVISIT :$20. AVISITN :8. ADT :date9.
PARAM :$40. PARAMCD :$5. PARCAT2 :$30. AVAL :8. BASE :8. CHG :8.;
format TRTSDT TRTEDT ADT date9.;
infile datalines dlm = '|';
datalines;
1001|17DEC2021|16SEP2022|Y|Cycle 2 Day 1|201|07JAN2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|83.333333333|83.333333333|0|
1001|17DEC2021|16SEP2022|Y|Cycle 3 Day 1|301|27JAN2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|50|83.333333333|-33.33333333|
1001|17DEC2021|16SEP2022|Y|Cycle 4 Day 1|401|18FEB2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|50|83.333333333|-33.33333333|
1001|17DEC2021|16SEP2022|Y|Cycle 5 Day 1|501|11MAR2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|66.666666667|83.333333333|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 6 Day 1|601|01APR2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|66.666666667|83.333333333|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 7 Day 1|701|21APR2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|66.666666667|83.333333333|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 8 Day 1|801|13MAY2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|83.333333333|83.333333333|0|
1001|17DEC2021|16SEP2022|Y|Cycle 9 Day 1|901|02JUN2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|66.666666667|83.333333333|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 10 Day 1|1001|24JUN2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|66.666666667|83.333333333|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 11 Day 1|1101|14JUL2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|66.666666667|83.333333333|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 12 Day 1|1201|05AUG2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|66.666666667|83.333333333|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 13 Day 1|1301|25AUG2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|66.666666667|83.333333333|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 14 Day 1|1401|16SEP2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|66.666666667|83.333333333|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 2 Day 1|201|07JAN2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|91.666666667|75|16.666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 3 Day 1|301|27JAN2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|75|75|0|
1001|17DEC2021|16SEP2022|Y|Cycle 4 Day 1|401|18FEB2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|66.666666667|75|-8.333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 5 Day 1|501|11MAR2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|83.333333333|75|8.3333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 6 Day 1|601|01APR2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|83.333333333|75|8.3333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 7 Day 1|701|21APR2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|75|75|0|
1001|17DEC2021|16SEP2022|Y|Cycle 8 Day 1|801|13MAY2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|75|75|0|
1001|17DEC2021|16SEP2022|Y|Cycle 9 Day 1|901|02JUN2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|75|75|0|
1001|17DEC2021|16SEP2022|Y|Cycle 10 Day 1|1001|24JUN2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|83.333333333|75|8.3333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 11 Day 1|1101|14JUL2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|83.333333333|75|8.3333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 12 Day 1|1201|05AUG2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|58.333333333|75|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 13 Day 1|1301|25AUG2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|83.333333333|75|8.3333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 14 Day 1|1401|16SEP2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|75|75|0|
1001|17DEC2021|16SEP2022|Y|Cycle 2 Day 1|201|07JAN2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|66.666666667|60|6.6666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 3 Day 1|301|27JAN2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|73.333333333|60|13.333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 4 Day 1|401|18FEB2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|80|60|20|
1001|17DEC2021|16SEP2022|Y|Cycle 5 Day 1|501|11MAR2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|66.666666667|60|6.6666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 6 Day 1|601|01APR2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|66.666666667|60|6.6666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 7 Day 1|701|21APR2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|60|60|0|
1001|17DEC2021|16SEP2022|Y|Cycle 8 Day 1|801|13MAY2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|80|60|20|
1001|17DEC2021|16SEP2022|Y|Cycle 9 Day 1|901|02JUN2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|60|60|0|
1001|17DEC2021|16SEP2022|Y|Cycle 10 Day 1|1001|24JUN2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|60|60|0|
1001|17DEC2021|16SEP2022|Y|Cycle 11 Day 1|1101|14JUL2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|60|60|0|
1001|17DEC2021|16SEP2022|Y|Cycle 12 Day 1|1201|05AUG2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|60|60|0|
1001|17DEC2021|16SEP2022|Y|Cycle 13 Day 1|1301|25AUG2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|66.666666667|60|6.6666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 14 Day 1|1401|16SEP2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|66.666666667|60|6.6666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 2 Day 1|201|07JAN2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|75|25|50|
1001|17DEC2021|16SEP2022|Y|Cycle 3 Day 1|301|27JAN2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|66.666666667|25|41.666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 4 Day 1|401|18FEB2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|58.333333333|25|33.333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 5 Day 1|501|11MAR2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|41.666666667|25|16.666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 6 Day 1|601|01APR2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|50|25|25|
1001|17DEC2021|16SEP2022|Y|Cycle 7 Day 1|701|21APR2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|50|25|25|
1001|17DEC2021|16SEP2022|Y|Cycle 8 Day 1|801|13MAY2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|66.666666667|25|41.666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 9 Day 1|901|02JUN2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|58.333333333|25|33.333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 10 Day 1|1001|24JUN2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|58.333333333|25|33.333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 11 Day 1|1101|14JUL2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|33.333333333|25|8.3333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 12 Day 1|1201|05AUG2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|50|25|25|
1001|17DEC2021|16SEP2022|Y|Cycle 13 Day 1|1301|25AUG2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|66.666666667|25|41.666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 14 Day 1|1401|16SEP2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|50|25|25|
;
run;
options ls=max;
%let last_cycle_avisitn = 26;
data cycle_lookup;
set visits;
where AVISITN <= &last_cycle_avisitn.01;
run;
data want2;
/* array for mising visits */
array v[2:&last_cycle_avisitn.] _temporary_;
/* array for visits names */
array vn[2:&last_cycle_avisitn.] _temporary_;
array vc[2:&last_cycle_avisitn.] $ 20 _temporary_;
if _N_=1 then do until(EOF1);
set cycle_lookup end=EOF1;
vn[round(AVISITN/100,1)]=AVISITN;
vc[round(AVISITN/100,1)]=AVISIT;
put _all_;
end;
set have;
by USUBJID PARAMCD;
if first.PARAMCD then call missing(of v[*]);
v[round(AVISITN/100,1)] = 1;
output;
if last.PARAMCD then
do _N_ = 2 to &last_cycle_avisitn.;
if ^v[_N_] then
do;
AVISITN=vn[_N_];
AVISIT =vc[_N_];
ADT =.;
AVAL=0;
output;
end;
end;
run;
proc print data = want2;
run;?
Bart
_______________
Polish SAS Users Group: www.polsug.com and communities.sas.com/polsug
"SAS Packages: the way to share" at SGF2020 Proceedings (the latest version), GitHub Repository, and YouTube Video.
Hands-on-Workshop: "Share your code with SAS Packages"
"My First SAS Package: A How-To" at SGF2021 Proceedings
SAS Ballot Ideas: one: SPF in SAS, two, and three
SAS Documentation
Polish SAS Users Group: www.polsug.com and communities.sas.com/polsug
"SAS Packages: the way to share" at SGF2020 Proceedings (the latest version), GitHub Repository, and YouTube Video.
Hands-on-Workshop: "Share your code with SAS Packages"
"My First SAS Package: A How-To" at SGF2021 Proceedings
SAS Ballot Ideas: one: SPF in SAS, two, and three
SAS Documentation
1 REPLY 1
Onyx | Level 15
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- Report Inappropriate Content
like that:
data visits;
input AVISIT :$20. AVISITN 8.;
infile datalines dlm = '|';
datalines;
Cycle 2 Day 1|201
Cycle 3 Day 1|301
Cycle 4 Day 1|401
Cycle 5 Day 1|501
Cycle 6 Day 1|601
Cycle 7 Day 1|701
Cycle 8 Day 1|801
Cycle 9 Day 1|901
Cycle 10 Day 1|1001
Cycle 11 Day 1|1101
Cycle 12 Day 1|1201
Cycle 13 Day 1|1301
Cycle 14 Day 1|1401
Cycle 15 Day 1|1501
Cycle 16 Day 1|1601
Cycle 17 Day 1|1701
Cycle 18 Day 1|1801
Cycle 19 Day 1|1901
Cycle 20 Day 1|2001
Cycle 21 Day 1|2101
Cycle 22 Day 1|2201
Cycle 23 Day 1|2301
Cycle 24 Day 1|2401
Cycle 25 Day 1|2501
Cycle 26 Day 1|2601
Cycle 27 Day 1|2701
Cycle 28 Day 1|2801
Cycle 29 Day 1|2901
Cycle 30 Day 1|3001
Cycle 31 Day 1|3101
Cycle 32 Day 1|3201
Cycle 33 Day 1|3301
Cycle 34 Day 1|3401
Cycle 35 Day 1|3501
Cycle 36 Day 1|3601
Cycle 37 Day 1|3701
Cycle 38 Day 1|3801
Cycle 39 Day 1|3901
End of Treatment|9001
40-Day Follow-up|9002
;
run;
data have;
input USUBJID $ TRTSDT :date9. TRTEDT :date9. DTHFL $ AVISIT :$20. AVISITN :8. ADT :date9.
PARAM :$40. PARAMCD :$5. PARCAT2 :$30. AVAL :8. BASE :8. CHG :8.;
format TRTSDT TRTEDT ADT date9.;
infile datalines dlm = '|';
datalines;
1001|17DEC2021|16SEP2022|Y|Cycle 2 Day 1|201|07JAN2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|83.333333333|83.333333333|0|
1001|17DEC2021|16SEP2022|Y|Cycle 3 Day 1|301|27JAN2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|50|83.333333333|-33.33333333|
1001|17DEC2021|16SEP2022|Y|Cycle 4 Day 1|401|18FEB2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|50|83.333333333|-33.33333333|
1001|17DEC2021|16SEP2022|Y|Cycle 5 Day 1|501|11MAR2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|66.666666667|83.333333333|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 6 Day 1|601|01APR2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|66.666666667|83.333333333|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 7 Day 1|701|21APR2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|66.666666667|83.333333333|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 8 Day 1|801|13MAY2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|83.333333333|83.333333333|0|
1001|17DEC2021|16SEP2022|Y|Cycle 9 Day 1|901|02JUN2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|66.666666667|83.333333333|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 10 Day 1|1001|24JUN2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|66.666666667|83.333333333|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 11 Day 1|1101|14JUL2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|66.666666667|83.333333333|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 12 Day 1|1201|05AUG2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|66.666666667|83.333333333|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 13 Day 1|1301|25AUG2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|66.666666667|83.333333333|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 14 Day 1|1401|16SEP2022|EORTC QLQ-C30 Cognitive Functioning|CF|Functional Scales|66.666666667|83.333333333|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 2 Day 1|201|07JAN2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|91.666666667|75|16.666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 3 Day 1|301|27JAN2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|75|75|0|
1001|17DEC2021|16SEP2022|Y|Cycle 4 Day 1|401|18FEB2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|66.666666667|75|-8.333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 5 Day 1|501|11MAR2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|83.333333333|75|8.3333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 6 Day 1|601|01APR2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|83.333333333|75|8.3333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 7 Day 1|701|21APR2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|75|75|0|
1001|17DEC2021|16SEP2022|Y|Cycle 8 Day 1|801|13MAY2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|75|75|0|
1001|17DEC2021|16SEP2022|Y|Cycle 9 Day 1|901|02JUN2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|75|75|0|
1001|17DEC2021|16SEP2022|Y|Cycle 10 Day 1|1001|24JUN2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|83.333333333|75|8.3333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 11 Day 1|1101|14JUL2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|83.333333333|75|8.3333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 12 Day 1|1201|05AUG2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|58.333333333|75|-16.66666667|
1001|17DEC2021|16SEP2022|Y|Cycle 13 Day 1|1301|25AUG2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|83.333333333|75|8.3333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 14 Day 1|1401|16SEP2022|EORTC QLQ-C30 Emotional Functioning|EF|Functional Scales|75|75|0|
1001|17DEC2021|16SEP2022|Y|Cycle 2 Day 1|201|07JAN2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|66.666666667|60|6.6666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 3 Day 1|301|27JAN2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|73.333333333|60|13.333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 4 Day 1|401|18FEB2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|80|60|20|
1001|17DEC2021|16SEP2022|Y|Cycle 5 Day 1|501|11MAR2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|66.666666667|60|6.6666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 6 Day 1|601|01APR2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|66.666666667|60|6.6666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 7 Day 1|701|21APR2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|60|60|0|
1001|17DEC2021|16SEP2022|Y|Cycle 8 Day 1|801|13MAY2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|80|60|20|
1001|17DEC2021|16SEP2022|Y|Cycle 9 Day 1|901|02JUN2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|60|60|0|
1001|17DEC2021|16SEP2022|Y|Cycle 10 Day 1|1001|24JUN2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|60|60|0|
1001|17DEC2021|16SEP2022|Y|Cycle 11 Day 1|1101|14JUL2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|60|60|0|
1001|17DEC2021|16SEP2022|Y|Cycle 12 Day 1|1201|05AUG2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|60|60|0|
1001|17DEC2021|16SEP2022|Y|Cycle 13 Day 1|1301|25AUG2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|66.666666667|60|6.6666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 14 Day 1|1401|16SEP2022|EORTC QLQ-C30 Physical Functioning|PF2|Functional Scales|66.666666667|60|6.6666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 2 Day 1|201|07JAN2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|75|25|50|
1001|17DEC2021|16SEP2022|Y|Cycle 3 Day 1|301|27JAN2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|66.666666667|25|41.666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 4 Day 1|401|18FEB2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|58.333333333|25|33.333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 5 Day 1|501|11MAR2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|41.666666667|25|16.666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 6 Day 1|601|01APR2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|50|25|25|
1001|17DEC2021|16SEP2022|Y|Cycle 7 Day 1|701|21APR2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|50|25|25|
1001|17DEC2021|16SEP2022|Y|Cycle 8 Day 1|801|13MAY2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|66.666666667|25|41.666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 9 Day 1|901|02JUN2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|58.333333333|25|33.333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 10 Day 1|1001|24JUN2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|58.333333333|25|33.333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 11 Day 1|1101|14JUL2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|33.333333333|25|8.3333333333|
1001|17DEC2021|16SEP2022|Y|Cycle 12 Day 1|1201|05AUG2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|50|25|25|
1001|17DEC2021|16SEP2022|Y|Cycle 13 Day 1|1301|25AUG2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|66.666666667|25|41.666666667|
1001|17DEC2021|16SEP2022|Y|Cycle 14 Day 1|1401|16SEP2022|EORTC QLQ-C30 Global Health Status|QL2|Global Health Status|50|25|25|
;
run;
options ls=max;
%let last_cycle_avisitn = 26;
data cycle_lookup;
set visits;
where AVISITN <= &last_cycle_avisitn.01;
run;
data want2;
/* array for mising visits */
array v[2:&last_cycle_avisitn.] _temporary_;
/* array for visits names */
array vn[2:&last_cycle_avisitn.] _temporary_;
array vc[2:&last_cycle_avisitn.] $ 20 _temporary_;
if _N_=1 then do until(EOF1);
set cycle_lookup end=EOF1;
vn[round(AVISITN/100,1)]=AVISITN;
vc[round(AVISITN/100,1)]=AVISIT;
put _all_;
end;
set have;
by USUBJID PARAMCD;
if first.PARAMCD then call missing(of v[*]);
v[round(AVISITN/100,1)] = 1;
output;
if last.PARAMCD then
do _N_ = 2 to &last_cycle_avisitn.;
if ^v[_N_] then
do;
AVISITN=vn[_N_];
AVISIT =vc[_N_];
ADT =.;
AVAL=0;
output;
end;
end;
run;
proc print data = want2;
run;?
Bart
_______________
Polish SAS Users Group: www.polsug.com and communities.sas.com/polsug
"SAS Packages: the way to share" at SGF2020 Proceedings (the latest version), GitHub Repository, and YouTube Video.
Hands-on-Workshop: "Share your code with SAS Packages"
"My First SAS Package: A How-To" at SGF2021 Proceedings
SAS Ballot Ideas: one: SPF in SAS, two, and three
SAS Documentation
Polish SAS Users Group: www.polsug.com and communities.sas.com/polsug
"SAS Packages: the way to share" at SGF2020 Proceedings (the latest version), GitHub Repository, and YouTube Video.
Hands-on-Workshop: "Share your code with SAS Packages"
"My First SAS Package: A How-To" at SGF2021 Proceedings
SAS Ballot Ideas: one: SPF in SAS, two, and three
SAS Documentation
🚨 Early Bird Rate Extended!
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How to Concatenate Values
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