About lichee

lichee · ‎12-08-2022

My bad! I used my initial data set. You got it. Thanks a lot!

lichee · ‎12-07-2022

Thanks a lot, Ksharp! The only part that doesn't work well is for DummyID=2, where its first record has enrollment duration of 218 days, the second record has 240 days, and the gap in between is 57 days (which is less than 60 days). This case the enrollment duration is 218+240=458, so DummyID=2 should be eligible given that it had at least 365 days of enrollment with no more than one gap of maximum of 60 days. 2,01Jan2017,07Aug2017 2,03Oct2017,31May2018 2,01Oct2018,30Nov2018 Maybe a small twist may make it work?

lichee · ‎12-06-2022

Hi all, I have another task related to enrollment data. In the data I have, each person has one or more enrollment records during the years 2017-2018. I need to identify if a person had at least 365 days of enrollment during the two years, with no more than one gap of maximum 60 days in enrollment. The dummy data is as below: data have; infile datalines truncover dsd; input DummyID (Enroll_beg_dt Enroll_end_dt) (:date9.); format Enroll_beg_dt Enroll_end_dt date9.; datalines; 1,01Jan2017,28Feb2018 1,02Mar2018,31Mar2018 1,02Apr2018,08Jul2018 1,01Aug2018,31Dec2018 2,01Jan2017,07Aug2017 2,03Oct2017,31May2018 2,01Oct2018,30Nov2018 3,01Jan2017,28Feb2018 3,02Mar2018,31Mar2018 3,02Apr2018,31Dec2018 4,01Jan2017,31Dec2018 5,01Oct2017,28Feb2018 6,01Jan2017,28Feb2018 6,02Mar2018,31Mar2018 6,02Apr2018,31Dec2018 7,01Apr2018,05Apr2018 7,01May2018,30Sep2018 7,01Nov2018,31Dec2018 8,01Aug2017,31Aug2017 8,08Sep2017,30Sep2017 8,18Oct2017,31Oct2017 8,08Nov2017,30Nov2017 8,08Dec2017,31Dec2017 8,16Jan2018,31Jan2018 8,02Feb2018,28Feb2018 8,02Mar2018,31Mar2018 8,19Apr2018,30Apr2018 8,09May2018,31May2018 8,14Aug2018,31Aug2018 8,27Sep2018,30Sep2018 8,08Nov2018,30Nov2018 ; run; The target data set is as below: data want; infile datalines truncover dsd; input DummyID Eligible; datalines; 1,1 2,1 3,1 4,1 5,1 6,1 7,0 8,0 ; run; Any insight would be greatly appreciated!

lichee · ‎11-15-2022

This one works well! I'll need to do some reading to learn about hash object now. Thanks a lot!

lichee · ‎11-15-2022

Thank you, Peter! I tried out the code with real data. When there are Person_IDs with flag_dx=0 following Person_IDs with flag_dx=1, the Person_IDs with flag_dx=0 would be replaced with Person_IDs with flag_dx=1. For example, when there is third person, Person_ID=3, with flag_dx=0, Person_ID would become Person_ID=2. The data below would have an unexpected output using the code you provided. Any further insight? data clmfile; infile datalines truncover dsd; input Person_ID clm_beg_dt :mmddyy. clm_end_dt :mmddyy. flag_dx; format clm_beg_dt clm_end_dt mmddyy.; datalines; 1,4/17/2017,11/30/2017,0 1,4/17/2017,12/31/2017,0 1,4/17/2017,4/30/2018,0 1,4/17/2017,6/30/2018,0 1,4/17/2017,8/31/2018,0 1,4/17/2017,10/31/2018,0 1,4/17/2017,12/31/2018,0 2,7/17/2017,7/20/2017,0 2,7/20/2017,7/31/2017,0 2,8/1/2017,8/5/2017,0 2,6/7/2018,6/10/2018,0 2,8/2/2018,8/5/2018,1 2,8/5/2018,8/14/2018,1 2,8/14/2018,8/19/2018,1 2,8/19/2018,8/31/2018,1 2,8/19/2018,9/30/2018,1 2,8/19/2018,10/31/2018,1 2,8/19/2018,11/30/2022,1 2,8/19/2018,12/31/2018,1 2,9/1/2018,9/5/2018,1 3,12/7/2017,12/12/2017,0 3,12/12/2017,12/31/2017,0 3,1/1/2018,1/16/2018,0 ; run; data stayfile; infile datalines truncover dsd; input Person_ID Stay_ID Stay_from_dt :mmddyy. Stay_Thru_dt :mmddyy.; format Stay_from_dt Stay_Thru_dt mmddyy.; datalines; 1,1,4/17/2017,12/31/2018 2,1,7/20/2017,8/5/2017 2,2,6/10/2018,6/29/2018 2,3,8/5/2018,12/31/2018 3,1,12/12/2017,1/16/2018 ; run;

lichee · ‎11-14-2022

That's right. I should have indicated that in my initial ask. Stay_from_dt<=clm_beg_dt<= clm_end_dt<=Stay_Thru_dt

lichee · ‎11-14-2022

I believe you meant the case as below. Instead of having 1 all the way through for the time period of stay_ID 3, Person 2 had some 0s during its Stay 3 between 8/5/2018 and 12/31/2018. This case I only care about if flag_dx=1 ever showed. If flag_dx=1 ever showed once during a stay within the stay time period, the stay for the person should have flag_dx=1 in the target data set. 2,8/2/2018,8/5/2018,1 2,8/5/2018,8/14/2018,1 2,8/14/2018,8/19/2018,0 2,8/19/2018,8/31/2018,1 2,8/19/2018,9/30/2018,1 2,8/19/2018,10/31/2018,0 2,8/19/2018,11/30/2022,1 2,8/19/2018,12/31/2018,1 2,9/1/2018,9/5/2018,1 Thanks a lot!

lichee · ‎11-14-2022

I was thinking one possible way is to join the two datasets by Person_ID and then compare the two sets of dates. However, the join would be many-to-many join, which is not efficient.

lichee · ‎11-13-2022

Hi all, I have two data sets, one is claim level data, and the other is (long-term or inpatient) stay level data. I wanted to construct a new field for the stay level data based on the claim level data. For example, when a diagnosis (flag_dx) showed up in a claim during the claim service dates (clm_beg_dt and clm_end_dt), and if the claim service dates are within the stay time window, the stay should take a value 1. Otherwise, the stay has the value of 0. The claim level data is as below: data clmfile; infile datalines truncover dsd; input Person_ID clm_beg_dt :mmddyy. clm_end_dt :mmddyy. flag_dx; format clm_beg_dt clm_end_dt mmddyy.; datalines; 1,4/17/2017,11/30/2017,0 1,4/17/2017,12/31/2017,0 1,4/17/2017,4/30/2018,0 1,4/17/2017,6/30/2018,0 1,4/17/2017,8/31/2018,0 1,4/17/2017,10/31/2018,0 1,4/17/2017,12/31/2018,0 2,7/17/2017,7/20/2017,0 2,7/20/2017,7/31/2017,0 2,8/1/2017,8/5/2017,0 2,6/7/2018,6/10/2018,0 2,8/2/2018,8/5/2018,1 2,8/5/2018,8/14/2018,1 2,8/14/2018,8/19/2018,1 2,8/19/2018,8/31/2018,1 2,8/19/2018,9/30/2018,1 2,8/19/2018,10/31/2018,1 2,8/19/2018,11/30/2022,1 2,8/19/2018,12/31/2018,1 2,9/1/2018,9/5/2018,1 ; run; The stay level data file is as below: data stayfile; infile datalines truncover dsd; input Person_ID Stay_ID Stay_from_dt :mmddyy. Stay_Thru_dt :mmddyy.; format Stay_from_dt Stay_Thru_dt mmddyy.; datalines; 1,1,4/17/2017,12/31/2018 2,1,7/20/2017,8/5/2017 2,2,6/10/2018,6/29/2018 2,3,8/5/2018,12/31/2018 ; run; The target data file is as below: data want; infile datalines truncover dsd; input Person_ID Stay_ID Stay_from_dt :mmddyy. Stay_Thru_dt :mmddyy. flag_dx; format Stay_from_dt Stay_Thru_dt mmddyy.; datalines; 1,1,4/17/2017,12/31/2018,0 2,1,7/20/2017,8/5/2017,0 2,2,6/10/2018,6/29/2018,0 2,3,8/5/2018,12/31/2018,1 ; run; Any suggestion is greatly appreciated!

lichee · ‎10-28-2022

Hi all, I wanted to compile records into the target data set "want" based on some simple rules for the data I have "have" as below. The simple rules include (1) When multiple records per person have the same state info and the complementary Type_CDs, compile them into one record, for example, person1, person2, person 3, and person4. (2) When multiple records per person have the different state info and their Type_CDs are different, the records cannot be compiled, for example, person5 and person6. However, if one record has no Type_CDs available at all, then the record with any available Type_CDs should be picked, and Person8 is this case. (3) Any other Type_CD is subset of Type_CD 1. Because of this, any record with Type_CD=1 can overwrite other records per person if the records have the same state info. for example, Person7. data have; infile datalines truncover dsd; input DummyID $ State $ Type_CD1-Type_CD6 ; datalines; Person1,NJ,,,,15,1,1 Person1,NJ,15,15,15,,, Person2,NY,7,7,7,7,7, Person2,NY,,,,,,7 Person3,NY,,,,,,7 Person3,NY,,,,7,7, Person4,NY,,,,7,7,7 Person4,NY,7,7,7,,, Person5,NY,7,7,7,7,7,7 Person5,CA,,,,,,4 Person6,NY,7,7,7,7,7, Person6,NJ,,,,,,15 Person7,AR,1,1,1,1,1,1 Person7,AR,,,7,7,7,7 Person8,NY,,,,1,1,1 Person8,NJ,,,,,, ; run; data want; infile datalines truncover dsd; input DummyID $ State $ Type_CD1-Type_CD6 ; datalines; Person1,NJ,15,15,15,15,1,1 Person2,NY,7,7,7,7,7,7 Person3,NY,,,,7,7,7 Person4,NY,7,7,7,7,7,7 Person7,AR,1,1,1,1,1,1 Person8,NY,,,,1,1,1 ; run; Any suggestions are greatly appreciated. Thank you!

lichee · ‎10-27-2022

I tried out all three ways, and they all worked very well. Tom's code seems most straightforward to me, so I'm go with his. Thank you all for all the guidance!

lichee · ‎10-26-2022

Yes, you are correct! It should be Enroll_TYPE_CD_01_08, instead of Enroll_TYPE_CD_01_02, Thanks a lot!

lichee · ‎10-26-2022

Hi all, I have 36 (3 codes per month) enrollment type codes and wanted to generate flags per month to show if one person had a particular enrollment type. The array code I use as below is so long. Is there anyway to simplify/shorten it? /* Dummy data I have */ data have; infile datalines truncover dsd; input DummyID $ Enroll_TYPE_CD_01_01 Enroll_TYPE_CD_01_02 Enroll_TYPE_CD_01_03 Enroll_TYPE_CD_01_04 Enroll_TYPE_CD_01_05 Enroll_TYPE_CD_01_06 Enroll_TYPE_CD_01_07 Enroll_TYPE_CD_01_02 Enroll_TYPE_CD_01_09 Enroll_TYPE_CD_01_10 Enroll_TYPE_CD_01_11 Enroll_TYPE_CD_01_12 Enroll_TYPE_CD_02_01 Enroll_TYPE_CD_02_02 Enroll_TYPE_CD_02_03 Enroll_TYPE_CD_02_04 Enroll_TYPE_CD_02_05 Enroll_TYPE_CD_02_06 Enroll_TYPE_CD_02_07 Enroll_TYPE_CD_02_02 Enroll_TYPE_CD_02_09 Enroll_TYPE_CD_02_10 Enroll_TYPE_CD_02_11 Enroll_TYPE_CD_02_12 Enroll_TYPE_CD_03_01 Enroll_TYPE_CD_03_02 Enroll_TYPE_CD_03_03 Enroll_TYPE_CD_03_04 Enroll_TYPE_CD_03_05 Enroll_TYPE_CD_03_06 Enroll_TYPE_CD_03_07 Enroll_TYPE_CD_03_02 Enroll_TYPE_CD_03_09 Enroll_TYPE_CD_03_10 Enroll_TYPE_CD_03_11 Enroll_TYPE_CD_03_12 ; datalines; Person01,1,1,1,1,1,1,1,1,1,1,1,1,,,,,,,,,,,,,,,,,,,,,,,, Person02,1,1,1,1,1,1,2,1,1,1,1,1,,,,,,,3,,,,,,,,,,,,,,,,, Person03,2,2,2,2,2,2,2,2,2,2,2,2,,,,,,,,,,,,,,,,,,,,,,,, Person04,1,1,1,1,1,1,1,1,,,,,,,,,,,,,,,,,,,,,,,,,,,, Person05,1,1,1,1,1,1,1,1,1,1,1,1,,,,,,,,,,,,,,,,,,,,,,,, Person06,1,1,1,1,1,1,1,1,1,1,1,1,,,,,,,,,,,,,,,,,,,,,,,, Person07,1,1,1,1,1,1,1,1,1,1,,,,,,,,,,,,,,,,,,,,,,,,,, Person08,1,1,1,1,1,1,1,1,1,1,1,1,,,,,,,,,,,,,,,,,,,,,,,, Person09,1,1,1,1,1,1,1,1,1,1,1,1,,,,,,,,,,,,,,,,,,,,,,,, Person10,2,2,2,2,2,2,2,2,2,2,2,2,1,1,1,,,,,,,,,,,,,,,,,,,,, Person11,2,2,2,2,2,2,2,2,2,2,2,2,,,,,,,,,,,,,,,,,,,,,,,, Person12,,,,,,,2,2,2,2,2,2,,,,,,,,,,,,,,,,,,,,,,,, Person13,1,1,1,1,1,1,1,1,1,1,1,1,,,,,,,,,,,,,,,,,,,,,,,, Person14,1,1,1,1,1,1,1,1,1,1,1,1,,,,,,,,,,,,,,,,,,,,,,,, Person15,2,2,2,2,2,2,2,2,2,1,1,1,,,,,,,,,,,,,,,,,,,,,,,, Person16,1,1,1,1,1,1,2,2,2,1,1,1,,,,,,,1,,,,,,,,,,,,,,,,, Person17,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,,,,,,,,,,,, Person18,2,2,2,2,1,1,1,1,1,1,1,1,,,,,,,,,,,,,,,,,,,,,,,, Person19,3,3,,,,,3,,,,,,2,2,3,3,3,3,,,,,,,,,2,2,2,2,3,,,,, Person20,4,4,4,4,4,4,4,4,4,4,4,,,,,,,,,,,,,,,,,,,,,,,,, ; run; /* Code I use */ data have1; set have; array Enrl_tp_01 Enroll_TYPE_CD_01_01 Enroll_TYPE_CD_02_01 Enroll_TYPE_CD_03_01; array Enrl_tp_02 Enroll_TYPE_CD_01_02 Enroll_TYPE_CD_02_02 Enroll_TYPE_CD_03_02; array Enrl_tp_03 Enroll_TYPE_CD_01_03 Enroll_TYPE_CD_02_03 Enroll_TYPE_CD_03_03; array Enrl_tp_04 Enroll_TYPE_CD_01_04 Enroll_TYPE_CD_02_04 Enroll_TYPE_CD_03_04; array Enrl_tp_05 Enroll_TYPE_CD_01_05 Enroll_TYPE_CD_02_05 Enroll_TYPE_CD_03_05; array Enrl_tp_06 Enroll_TYPE_CD_01_06 Enroll_TYPE_CD_02_06 Enroll_TYPE_CD_03_06; array Enrl_tp_07 Enroll_TYPE_CD_01_07 Enroll_TYPE_CD_02_07 Enroll_TYPE_CD_03_07; array Enrl_tp_08 Enroll_TYPE_CD_01_08 Enroll_TYPE_CD_02_08 Enroll_TYPE_CD_03_08; array Enrl_tp_09 Enroll_TYPE_CD_01_09 Enroll_TYPE_CD_02_09 Enroll_TYPE_CD_03_09; array Enrl_tp_10 Enroll_TYPE_CD_01_10 Enroll_TYPE_CD_02_10 Enroll_TYPE_CD_03_10; array Enrl_tp_11 Enroll_TYPE_CD_01_11 Enroll_TYPE_CD_02_11 Enroll_TYPE_CD_03_11; array Enrl_tp_12 Enroll_TYPE_CD_01_12 Enroll_TYPE_CD_02_12 Enroll_TYPE_CD_03_12; array Grp_flg_01 flag_Enrlcat1_01_01 flag_Enrlcat1_02_01 flag_Enrlcat1_03_01; array Grp_flg_02 flag_Enrlcat1_01_02 flag_Enrlcat1_02_02 flag_Enrlcat1_03_02; array Grp_flg_03 flag_Enrlcat1_01_03 flag_Enrlcat1_02_03 flag_Enrlcat1_03_03; array Grp_flg_04 flag_Enrlcat1_01_04 flag_Enrlcat1_02_04 flag_Enrlcat1_03_04; array Grp_flg_05 flag_Enrlcat1_01_05 flag_Enrlcat1_02_05 flag_Enrlcat1_03_05; array Grp_flg_06 flag_Enrlcat1_01_06 flag_Enrlcat1_02_06 flag_Enrlcat1_03_06; array Grp_flg_07 flag_Enrlcat1_01_07 flag_Enrlcat1_02_07 flag_Enrlcat1_03_07; array Grp_flg_08 flag_Enrlcat1_01_08 flag_Enrlcat1_02_08 flag_Enrlcat1_03_08; array Grp_flg_09 flag_Enrlcat1_01_09 flag_Enrlcat1_02_09 flag_Enrlcat1_03_09; array Grp_flg_10 flag_Enrlcat1_01_10 flag_Enrlcat1_02_10 flag_Enrlcat1_03_10; array Grp_flg_11 flag_Enrlcat1_01_11 flag_Enrlcat1_02_11 flag_Enrlcat1_03_11; array Grp_flg_12 flag_Enrlcat1_01_12 flag_Enrlcat1_02_12 flag_Enrlcat1_03_12; do over Enrl_tp_01; if Enrl_tp_01=1 then Grp_flg_01=1; else Grp_flg_01=0; end; flag_Enrlcat1_201801=max(flag_Enrlcat1_01_01, flag_Enrlcat1_02_01, flag_Enrlcat1_03_01); do over Enrl_tp_02; if Enrl_tp_02=1 then Grp_flg_02=1; else Grp_flg_02=0; end; flag_Enrlcat1_201802=max(flag_Enrlcat1_01_02, flag_Enrlcat1_02_02, flag_Enrlcat1_03_02); do over Enrl_tp_03; if Enrl_tp_03=1 then Grp_flg_03=1; else Grp_flg_03=0; end; flag_Enrlcat1_201803=max(flag_Enrlcat1_01_03, flag_Enrlcat1_02_03, flag_Enrlcat1_03_03); do over Enrl_tp_04; if Enrl_tp_04=1 then Grp_flg_04=1; else Grp_flg_04=0; end; flag_Enrlcat1_201804=max(flag_Enrlcat1_01_04, flag_Enrlcat1_02_04, flag_Enrlcat1_03_04); do over Enrl_tp_05; if Enrl_tp_05=1 then Grp_flg_05=1; else Grp_flg_05=0; end; flag_Enrlcat1_201805=max(flag_Enrlcat1_01_05, flag_Enrlcat1_02_05, flag_Enrlcat1_03_05); do over Enrl_tp_06; if Enrl_tp_06=1 then Grp_flg_06=1; else Grp_flg_06=0; end; flag_Enrlcat1_201806=max(flag_Enrlcat1_01_06, flag_Enrlcat1_02_06, flag_Enrlcat1_03_06); do over Enrl_tp_07; if Enrl_tp_07=1 then Grp_flg_07=1; else Grp_flg_07=0; end; flag_Enrlcat1_201807=max(flag_Enrlcat1_01_07, flag_Enrlcat1_02_07, flag_Enrlcat1_03_07); do over Enrl_tp_08; if Enrl_tp_08=1 then Grp_flg_08=1; else Grp_flg_08=0; end; flag_Enrlcat1_201808=max(flag_Enrlcat1_01_08, flag_Enrlcat1_02_08, flag_Enrlcat1_03_08); do over Enrl_tp_09; if Enrl_tp_09=1 then Grp_flg_09=1; else Grp_flg_09=0; end; flag_Enrlcat1_201809=max(flag_Enrlcat1_01_09, flag_Enrlcat1_02_09, flag_Enrlcat1_03_09); do over Enrl_tp_10; if Enrl_tp_10=1 then Grp_flg_10=1; else Grp_flg_10=0; end; flag_Enrlcat1_201810=max(flag_Enrlcat1_01_10, flag_Enrlcat1_02_10, flag_Enrlcat1_03_10); do over Enrl_tp_11; if Enrl_tp_11=1 then Grp_flg_11=1; else Grp_flg_11=0; end; flag_Enrlcat1_201811=max(flag_Enrlcat1_01_11, flag_Enrlcat1_02_11, flag_Enrlcat1_03_11); do over Enrl_tp_12; if Enrl_tp_12=1 then Grp_flg_12=1; else Grp_flg_12=0; end; flag_Enrlcat1_201812=max(flag_Enrlcat1_01_12, flag_Enrlcat1_02_12, flag_Enrlcat1_03_12); run; /* Dummy data I want to generate */ proc sql; create table want as select distinct DummyID ,flag_Enrlcat1_201801 ,flag_Enrlcat1_201802 ,flag_Enrlcat1_201803 ,flag_Enrlcat1_201804 ,flag_Enrlcat1_201805 ,flag_Enrlcat1_201806 ,flag_Enrlcat1_201807 ,flag_Enrlcat1_201808 ,flag_Enrlcat1_201809 ,flag_Enrlcat1_201810 ,flag_Enrlcat1_201811 ,flag_Enrlcat1_201812 from have1 ;quit; Thank you!

lichee · ‎10-05-2022

Actually, I do want to explore and learn the code for the data crossing year boundaries. So if I have the data below, how would the code look like? Thanks again! data have; infile datalines truncover dsd; input DummyID $ Decease_Date :mmddyy. EnrolledDays_201707 EnrolledDays_201708 EnrolledDays_201709 EnrolledDays_201710 EnrolledDays_201711 EnrolledDays_201712 EnrolledDays_201801 EnrolledDays_201802 EnrolledDays_201803 EnrolledDays_201804 EnrolledDays_201805 EnrolledDays_201806 Enrolled_Months ; format Decease_Date date9.; datalines; Person1,,31,31,30,31,30,31,31,28,31,30,31,30,12 Person2,,31,31,30,31,30,31,31,28,31,30,31,30,12 Person3,,31,31,30,31,30,31,31,28,31,30,31,30,12 Person4,2/25/2018,0,0,0,0,0,0,31,25,0,0,0,0,1 Person5,,31,31,30,31,30,31,31,28,31,30,31,30,12 Person6,,31,31,30,31,30,31,31,28,31,30,31,30,12 Person7,,31,31,30,31,30,31,31,28,31,30,31,30,12 Person8,,31,31,30,31,30,31,31,28,31,30,31,30,12 Person9,,31,31,30,31,30,31,31,28,31,30,31,30,12 Person10,,31,31,30,31,30,31,31,28,31,30,31,30,12 Person11,,31,31,30,31,30,31,31,28,31,30,31,30,12 Person12,,31,31,30,31,30,31,31,28,31,30,31,30,12 Person13,,31,31,30,31,30,31,31,28,31,30,31,30,12 Person14,,31,31,30,31,30,31,31,28,31,30,31,30,12 Person15,10/5/2018,31,31,30,31,30,31,31,28,31,30,31,30,12 Person16,,31,31,30,31,30,31,31,28,31,30,31,30,12 Person17,,31,31,30,31,30,31,31,28,31,30,31,30,12 Person18,,31,31,30,31,30,31,31,28,31,30,31,30,12 Person19,,31,31,30,31,30,31,31,28,31,30,31,30,12 Person20,6/7/2018,0,0,0,0,0,0,31,28,31,30,31,30,5 ; run;

lichee · ‎10-03-2022

You are right. The last one should have Enrolled_Months=5. Thanks a lot!

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