CFAR Biometrics_REDCap Data Restructuring Using SAS

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Wilfrid Arnold Summers
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1 /* syntax00a_redcap_import PREPARE DATA. EXPORTED INSTRUMENTS: EXPORTED EVENTS: EXPORTED DATA: ALL (ONLY NEED: ENROLMENT VISIT, FOLLOWUP, AND LAB DATA). ALL. (I WILL PARSE BELOW.) TO SAS. SAVED THE PATHWAY MAPPER (WHICH YOU NEED TO RUN FIRST),.CSV AND.SAS FILE To Do: 1. Run the sas_pathway_mapper.bat file 2. Run the.sas file and make sure to save the sas data set and formats *data source.redcap; *set REDCAP; * *proc format library=work.formats cntlout = source.formats; * *proc format library=source.formats cntlin=source.formats; * */ ; %macro removeoldfile(bye); %if %sysfunc(exist(&bye.)) %then %do; proc delete data=&bye.; %end; %mend removeoldfile; libname source 'C:\Users\jstern77\OneDrive - UW Office 365\REDCap Examples\SAS\Source Data\'; %removeoldfile(redcap.redcap); data REDCAP; %let _EFIERR_ = 0; infile 'HIVPediatricsKensPra_DATA_NOHDRS_ _1424.csv' delimiter = ',' MISSOVER DSD lrecl=32767 firstobs=1 ; informat study_id best32. ; informat redcap_event_name $500. ; informat demographics_complete best32. ; informat ptid_studyid_validation best32. ; informat check_studyid_validation best32. ; informat studyid_validation_complete best32. ; informat crfversion_en best32. ; informat scid_en best32. ; informat ptid_en best32. ; informat visitcode_en best32. ; informat frmcompldt_en yymmdd10. ; informat ageyrs_en best32. ; informat agemos_en best32. ; informat sex_en best32. ; informat sympfev_en best32. ; informat sympfevdur_en best32. ; informat sympoth1_en best32. ; informat sympoth1sp_en $500. ; informat sympoth1dur_en best32. ; informat sympoth2_en best32. ; informat sympoth2sp_en $500. ; informat sympoth2dur_en best32. ; informat sympoth3_en best32. ; informat txmed1_en best32. ; informat txmed1name_en $500. ; informat txmed1ind_en $500. ; informat txmed1startdt_en yymmdd10. ; informat txmed1stopdt_en yymmdd10. ; informat txmed2_en best32. ; informat txmed2name_en $500. ; informat txmed2ind_en $500. ; informat txmed2startdt_en yymmdd10. ; informat txmed2stopdt_en yymmdd10. ; informat txoth1_en best32. ; informat txoth1name_en $500. ; informat txoth1ind_en $500. ; 1

2 informat txoth1startdt_en yymmdd10. ; informat txoth1stopdt_en yymmdd10. ; informat weight_en best32. ; informat height_en best32. ; informat temp_en best32. ; informat heart_en best32. ; informat bpsystol_en best32. ; informat bpdiast_en best32. ; informat nxtvisitdt_en yymmdd10. ; informat frmcomplby_en best32. ; informat frmcomplbydt_en yymmdd10. ; informat frmdbaseby_en best32. ; informat frmdbasebydt_en yymmdd10. ; informat dbasecomment1_en $5000. ; informat dbasecomment2_en $5000. ; informat dbasecomment3_en $5000. ; informat dbasecomment4_en $5000. ; informat dbasecomment5_en $5000. ; informat enrollment_en_complete best32. ; informat crfversion_lr best32. ; informat ptid_lr best32. ; informat frmcompldt_lr yymmdd10. ; informat visitcode_lr best32. ; informat sampldt_lr yymmdd10. ; informat cd4per_clrb best32. ; informat cd4cnt_lr best32. ; informat cd8cnt_lr best32. ; informat cd4to8ratio_lr best32. ; informat wbc_lr best32. ; informat rbc_lr best32. ; informat hb_lr best32. ; informat frmcomplby_lr best32. ; informat frmcomplbydt_lr yymmdd10. ; informat frmdbaseby_lr best32. ; informat frmdbasebydt_lr yymmdd10. ; informat dbasecomment1_lr $5000. ; informat dbasecomment2_lr $5000. ; informat dbasecomment3_lr $5000. ; informat dbasecomment4_lr $5000. ; informat dbasecomment5_lr $5000. ; informat lab_results_lr_complete best32. ; informat crfversion_fu best32. ; informat ptid_fu best32. ; informat visitcode_fu best32. ; informat frmcompldt_fu yymmdd10. ; informat sympfev_fu best32. ; informat sympfevdur_fu best32. ; informat sympoth1_fu best32. ; informat sympoth1sp_fu $500. ; informat sympoth1dur_fu best32. ; informat sympoth2_fu best32. ; informat sympoth2sp_fu $500. ; informat sympoth2dur_fu best32. ; informat sympoth3_fu best32. ; informat txmed1_fu best32. ; informat txmed1name_fu $500. ; informat txmed1ind_fu $500. ; informat txmed1startdt_fu yymmdd10. ; informat txmed1stopdt_fu yymmdd10. ; informat txmed2_fu best32. ; informat txmed2name_fu $500. ; informat txmed2ind_fu $500. ; informat txmed2startdt_fu yymmdd10. ; informat txmed2stopdt_fu yymmdd10. ; informat txoth1_fu best32. ; informat txoth1name_fu $500. ; informat txoth1ind_fu $500. ; informat txoth1startdt_fu yymmdd10. ; informat txoth1stopdt_fu yymmdd10. ; 2

3 informat weight_fu best32. ; informat height_fu best32. ; informat temp_fu best32. ; informat heart_fu best32. ; informat bpsystol_fu best32. ; informat bpdiast_fu best32. ; informat nxtvisitdt_fu yymmdd10. ; informat frmcomplby_fu best32. ; informat frmcomplbydt_fu yymmdd10. ; informat frmdbaseby_fu best32. ; informat frmdbasebydt_fu yymmdd10. ; informat dbasecomment1_fu $5000. ; informat dbasecomment2_fu $5000. ; informat dbasecomment3_fu $5000. ; informat dbasecomment4_fu $5000. ; informat dbasecomment5_fu $5000. ; informat followup_fu_complete best32. ; 3

4 format study_id best12. ; format redcap_event_name $500. ; format demographics_complete best12. ; format ptid_studyid_validation best12. ; format check_studyid_validation best12. ; format studyid_validation_complete best12. ; format crfversion_en best12. ; format scid_en best12. ; format ptid_en best12. ; format visitcode_en best12. ; format frmcompldt_en yymmdd10. ; format ageyrs_en best12. ; format agemos_en best12. ; format sex_en best12. ; format sympfev_en best12. ; format sympfevdur_en best12. ; format sympoth1_en best12. ; format sympoth1sp_en $500. ; format sympoth1dur_en best12. ; format sympoth2_en best12. ; format sympoth2sp_en $500. ; format sympoth2dur_en best12. ; format sympoth3_en best12. ; format txmed1_en best12. ; format txmed1name_en $500. ; format txmed1ind_en $500. ; format txmed1startdt_en yymmdd10. ; format txmed1stopdt_en yymmdd10. ; format txmed2_en best12. ; format txmed2name_en $500. ; format txmed2ind_en $500. ; format txmed2startdt_en yymmdd10. ; format txmed2stopdt_en yymmdd10. ; format txoth1_en best12. ; format txoth1name_en $500. ; format txoth1ind_en $500. ; format txoth1startdt_en yymmdd10. ; format txoth1stopdt_en yymmdd10. ; format weight_en best12. ; format height_en best12. ; format temp_en best12. ; format heart_en best12. ; format bpsystol_en best12. ; format bpdiast_en best12. ; format nxtvisitdt_en yymmdd10. ; format frmcomplby_en best12. ; format frmcomplbydt_en yymmdd10. ; format frmdbaseby_en best12. ; format frmdbasebydt_en yymmdd10. ; format dbasecomment1_en $5000. ; format dbasecomment2_en $5000. ; format dbasecomment3_en $5000. ; format dbasecomment4_en $5000. ; format dbasecomment5_en $5000. ; format enrollment_en_complete best12. ; format crfversion_lr best12. ; format ptid_lr best12. ; format frmcompldt_lr yymmdd10. ; format visitcode_lr best12. ; format sampldt_lr yymmdd10. ; format cd4per_clrb best12. ; format cd4cnt_lr best12. ; format cd8cnt_lr best12. ; format cd4to8ratio_lr best12. ; format wbc_lr best12. ; format rbc_lr best12. ; format hb_lr best12. ; format frmcomplby_lr best12. ; format frmcomplbydt_lr yymmdd10. ; 4

5 format frmdbaseby_lr best12. ; format frmdbasebydt_lr yymmdd10. ; format dbasecomment1_lr $5000. ; format dbasecomment2_lr $5000. ; format dbasecomment3_lr $5000. ; format dbasecomment4_lr $5000. ; format dbasecomment5_lr $5000. ; format lab_results_lr_complete best12. ; format crfversion_fu best12. ; format ptid_fu best12. ; format visitcode_fu best12. ; format frmcompldt_fu yymmdd10. ; format sympfev_fu best12. ; format sympfevdur_fu best12. ; format sympoth1_fu best12. ; format sympoth1sp_fu $500. ; format sympoth1dur_fu best12. ; format sympoth2_fu best12. ; format sympoth2sp_fu $500. ; format sympoth2dur_fu best12. ; format sympoth3_fu best12. ; format txmed1_fu best12. ; format txmed1name_fu $500. ; format txmed1ind_fu $500. ; format txmed1startdt_fu yymmdd10. ; format txmed1stopdt_fu yymmdd10. ; format txmed2_fu best12. ; format txmed2name_fu $500. ; format txmed2ind_fu $500. ; format txmed2startdt_fu yymmdd10. ; format txmed2stopdt_fu yymmdd10. ; format txoth1_fu best12. ; format txoth1name_fu $500. ; format txoth1ind_fu $500. ; format txoth1startdt_fu yymmdd10. ; format txoth1stopdt_fu yymmdd10. ; format weight_fu best12. ; format height_fu best12. ; format temp_fu best12. ; format heart_fu best12. ; format bpsystol_fu best12. ; format bpdiast_fu best12. ; format nxtvisitdt_fu yymmdd10. ; format frmcomplby_fu best12. ; format frmcomplbydt_fu yymmdd10. ; format frmdbaseby_fu best12. ; format frmdbasebydt_fu yymmdd10. ; format dbasecomment1_fu $5000. ; format dbasecomment2_fu $5000. ; format dbasecomment3_fu $5000. ; format dbasecomment4_fu $5000. ; format dbasecomment5_fu $5000. ; format followup_fu_complete best12. ; 5

6 input CFAR Biometrics_REDCap Data Restructuring Using SAS study_id redcap_event_name $ demographics_complete ptid_studyid_validation check_studyid_validation studyid_validation_complete crfversion_en scid_en ptid_en visitcode_en frmcompldt_en ageyrs_en agemos_en sex_en sympfev_en sympfevdur_en sympoth1_en sympoth1sp_en $ sympoth1dur_en sympoth2_en sympoth2sp_en $ sympoth2dur_en sympoth3_en txmed1_en txmed1name_en $ txmed1ind_en $ txmed1startdt_en txmed1stopdt_en txmed2_en txmed2name_en $ txmed2ind_en $ txmed2startdt_en txmed2stopdt_en txoth1_en txoth1name_en $ txoth1ind_en $ txoth1startdt_en txoth1stopdt_en weight_en height_en temp_en heart_en bpsystol_en bpdiast_en nxtvisitdt_en frmcomplby_en frmcomplbydt_en frmdbaseby_en frmdbasebydt_en dbasecomment1_en $ dbasecomment2_en $ dbasecomment3_en $ dbasecomment4_en $ dbasecomment5_en $ enrollment_en_complete crfversion_lr ptid_lr frmcompldt_lr visitcode_lr sampldt_lr cd4per_clrb cd4cnt_lr cd8cnt_lr cd4to8ratio_lr wbc_lr rbc_lr hb_lr frmcomplby_lr 6

7 frmcomplbydt_lr frmdbaseby_lr frmdbasebydt_lr dbasecomment1_lr $ dbasecomment2_lr $ dbasecomment3_lr $ dbasecomment4_lr $ dbasecomment5_lr $ lab_results_lr_complete crfversion_fu ptid_fu visitcode_fu frmcompldt_fu sympfev_fu sympfevdur_fu sympoth1_fu sympoth1sp_fu $ sympoth1dur_fu sympoth2_fu sympoth2sp_fu $ sympoth2dur_fu sympoth3_fu txmed1_fu txmed1name_fu $ txmed1ind_fu $ txmed1startdt_fu txmed1stopdt_fu txmed2_fu txmed2name_fu $ txmed2ind_fu $ txmed2startdt_fu txmed2stopdt_fu txoth1_fu txoth1name_fu $ txoth1ind_fu $ txoth1startdt_fu txoth1stopdt_fu weight_fu height_fu temp_fu heart_fu bpsystol_fu bpdiast_fu nxtvisitdt_fu frmcomplby_fu frmcomplbydt_fu frmdbaseby_fu frmdbasebydt_fu dbasecomment1_fu $ dbasecomment2_fu $ dbasecomment3_fu $ dbasecomment4_fu $ dbasecomment5_fu $ followup_fu_complete ; if _ERROR_ then call symput('_efierr_',"1"); proc contents; 7

8 data redcap; set redcap; label study_id='participant ID (ends in 9)'; label redcap_event_name='event Name'; label demographics_complete='complete?'; label ptid_studyid_validation='participant ID (ends in 9)'; label check_studyid_validation='check to validate Participant ID'; label studyid_validation_complete='complete?'; label crfversion_en='enrollment (EN): CRF Version'; label scid_en='screening ID (ends in 7)'; label ptid_en='participant ID (ends in 9)'; label visitcode_en='enrollment Visit'; label frmcompldt_en='form completion: Date (Enrollment Visit Date)'; label ageyrs_en='1a. Age (years)'; label agemos_en='1b. Age (months)'; label sex_en='1c. Sex'; label sympfev_en='fever'; label sympfevdur_en='fever: Duration (days)'; label sympoth1_en='other (1)'; label sympoth1sp_en='other (1): Specify'; label sympoth1dur_en='other (1) : Duration (days)'; label sympoth2_en='other (2)'; label sympoth2sp_en='other (2): Specify'; label sympoth2dur_en='other (2): Duration (days)'; label sympoth3_en='other (3)'; label txmed1_en='medication (1)'; label txmed1name_en='medication (1): Name'; label txmed1ind_en='medication (1): Indication'; label txmed1startdt_en='medication (1): Start date'; label txmed1stopdt_en='medication (1): End date'; label txmed2_en='medication (2)'; label txmed2name_en='medication (2): Name'; label txmed2ind_en='medication (2): Indication'; label txmed2startdt_en='medication (2): Start date'; label txmed2stopdt_en='medication (2): End date'; label txoth1_en='other (1)'; label txoth1name_en='other (1): Name'; label txoth1ind_en='other (1): Indication'; label txoth1startdt_en='other (1): Start date'; label txoth1stopdt_en='other (1): End date'; label weight_en='current weight (kg)'; label height_en='current height (cm)'; label temp_en='body temperature (degrees C)'; label heart_en='heart rate (per minute)'; label bpsystol_en='blood pressure: Systolic (mmhg)'; label bpdiast_en='blood pressure: Diastolic (mmhg)'; label nxtvisitdt_en='next visit: Date'; label frmcomplby_en='form completed by: Staff code'; label frmcomplbydt_en='form completed by: Date'; label frmdbaseby_en='form entered into database by: Staff code'; label frmdbasebydt_en='form entered into database by: Date'; label dbasecomment1_en='database comments (1)'; label dbasecomment2_en='database comments (2)'; label dbasecomment3_en='database comments (3)'; label dbasecomment4_en='database comments (4)'; label dbasecomment5_en='database comments (5)'; label enrollment_en_complete='complete?'; label crfversion_lr='lab Results (LR):CRF Version'; label ptid_lr='participant ID (ends in 9)'; label frmcompldt_lr='form completion: Date '; label visitcode_lr='visit Code'; label sampldt_lr='sample collection: Date'; label cd4per_clrb='cd4%'; label cd4cnt_lr='cd4 Count (cells/ul)'; label cd8cnt_lr='cd8 Count (cells/ul)'; label cd4to8ratio_lr='cd4/cd8 ratio'; label wbc_lr='wbc (x10^3 cells/ul)'; label rbc_lr='rbc (x10^6 cells/ul)'; label hb_lr='hemoglobin (g/dl)'; 8

9 label frmcomplby_lr='form completed by: Staff code'; label frmcomplbydt_lr='form completed by: Date'; label frmdbaseby_lr='form entered into database by: Staff code'; label frmdbasebydt_lr='form entered into database by: Date'; label dbasecomment1_lr='database comments (1)'; label dbasecomment2_lr='database comments (2)'; label dbasecomment3_lr='database comments (3)'; label dbasecomment4_lr='database comments (4)'; label dbasecomment5_lr='database comments (5)'; label lab_results_lr_complete='complete?'; label crfversion_fu='followup (FU) Visit: CRF Version'; label ptid_fu='participant ID (ends in 9)'; label visitcode_fu='visit Code'; label frmcompldt_fu='form completion: Date (Visit Date)'; label sympfev_fu='fever'; label sympfevdur_fu='fever: Duration (days)'; label sympoth1_fu='other (1)'; label sympoth1sp_fu='other (1): Specify'; label sympoth1dur_fu='other (1) : Duration (days)'; label sympoth2_fu='other (2)'; label sympoth2sp_fu='other (2): Specify'; label sympoth2dur_fu='other (2): Duration (days)'; label sympoth3_fu='other (3)'; label txmed1_fu='medication (1)'; label txmed1name_fu='medication (1): Name'; label txmed1ind_fu='medication (1): Indication'; label txmed1startdt_fu='medication (1): Start date'; label txmed1stopdt_fu='medication (1): End date'; label txmed2_fu='medication (2)'; label txmed2name_fu='medication (2): Name'; label txmed2ind_fu='medication (2): Indication'; label txmed2startdt_fu='medication (2): Start date'; label txmed2stopdt_fu='medication (2): End date'; label txoth1_fu='other (1)'; label txoth1name_fu='other (1): Name'; label txoth1ind_fu='other (1): Indication'; label txoth1startdt_fu='other (1): Start date'; label txoth1stopdt_fu='other (1): End date'; label weight_fu='current weight (kg)'; label height_fu='current height (cm)'; label temp_fu='body temperature (degrees C)'; label heart_fu='heart rate (per minute)'; label bpsystol_fu='blood pressure: Systolic (mmhg)'; label bpdiast_fu='blood pressure: Diastolic (mmhg)'; label nxtvisitdt_fu='next visit: Date'; label frmcomplby_fu='form completed by: Staff code'; label frmcomplbydt_fu='form completed by: Date'; label frmdbaseby_fu='form entered into database by: Staff code'; label frmdbasebydt_fu='form entered into database by: Date'; label dbasecomment1_fu='database comments (1)'; label dbasecomment2_fu='database comments (2)'; label dbasecomment3_fu='database comments (3)'; label dbasecomment4_fu='database comments (4)'; label dbasecomment5_fu='database comments (5)'; label followup_fu_complete='complete?'; 9

10 proc format; value $redcap_event_name_ enrollment_arm_1='enrollment' followup_6month_arm_1='followup: 6-month' followup_12month_arm_1='followup: 12-month'; value demographics_complete_ 0='Incomplete' 1='Unverified' 2='Complete'; value check_studyid_validation_ 1='Validate Participant ID'; value studyid_validation_complete_ 0='Incomplete' 1='Unverified' 2='Complete'; value crfversion_en_ 1='1.0' 2='2.0'; value sex_en_ 1='Male' 2='Female'; value sympfev_en_ 1='Yes' 0='No'; value sympoth1_en_ 1='Yes' 0='No'; value sympoth2_en_ 1='Yes' 0='No'; value sympoth3_en_ 1='Yes' 0='No'; value txmed1_en_ 1='Yes' 0='No'; value txmed2_en_ 1='Yes' 0='No'; value txoth1_en_ 1='Yes' 0='No'; value frmcomplby_en_ 1='Personnel1' 2='Personnel2'; value frmdbaseby_en_ 1='Personnel1' 2='Personnel2'; value enrollment_en_complete_ 0='Incomplete' 1='Unverified' 2='Complete'; value crfversion_lr_ 1='1.0' 2='2.0'; value frmcomplby_lr_ 1='Personnel1' 2='Personnel2'; value frmdbaseby_lr_ 1='Personnel1' 2='Personnel2'; value lab_results_lr_complete_ 0='Incomplete' 1='Unverified' 2='Complete'; value crfversion_fu_ 1='1.0' 2='2.0'; value sympfev_fu_ 1='Yes' 0='No'; value sympoth1_fu_ 1='Yes' 0='No'; value sympoth2_fu_ 1='Yes' 0='No'; value sympoth3_fu_ 1='Yes' 0='No'; value txmed1_fu_ 1='Yes' 0='No'; value txmed2_fu_ 1='Yes' 0='No'; value txoth1_fu_ 1='Yes' 0='No'; value frmcomplby_fu_ 1='Personnel1' 2='Personnel2'; value frmdbaseby_fu_ 1='Personnel1' 2='Personnel2'; value followup_fu_complete_ 0='Incomplete' 1='Unverified' 2='Complete'; 10

11 data redcap; set redcap; format redcap_event_name redcap_event_name_.; format demographics_complete demographics_complete_.; format check_studyid_validation check_studyid_validation_.; format studyid_validation_complete studyid_validation_complete_.; format crfversion_en crfversion_en_.; format sex_en sex_en_.; format sympfev_en sympfev_en_.; format sympoth1_en sympoth1_en_.; format sympoth2_en sympoth2_en_.; format sympoth3_en sympoth3_en_.; format txmed1_en txmed1_en_.; format txmed2_en txmed2_en_.; format txoth1_en txoth1_en_.; format frmcomplby_en frmcomplby_en_.; format frmdbaseby_en frmdbaseby_en_.; format enrollment_en_complete enrollment_en_complete_.; format crfversion_lr crfversion_lr_.; format frmcomplby_lr frmcomplby_lr_.; format frmdbaseby_lr frmdbaseby_lr_.; format lab_results_lr_complete lab_results_lr_complete_.; format crfversion_fu crfversion_fu_.; format sympfev_fu sympfev_fu_.; format sympoth1_fu sympoth1_fu_.; format sympoth2_fu sympoth2_fu_.; format sympoth3_fu sympoth3_fu_.; format txmed1_fu txmed1_fu_.; format txmed2_fu txmed2_fu_.; format txoth1_fu txoth1_fu_.; format frmcomplby_fu frmcomplby_fu_.; format frmdbaseby_fu frmdbaseby_fu_.; format followup_fu_complete followup_fu_complete_.; proc contents data=redcap; proc print data=redcap; quit; data source.redcap; set REDCAP; proc format library=work.formats cntlout = source.formats; proc format library=source.formats cntlin=source.formats; 11

12 *syntax00b_redcap_restructure. libname source 'C:\Users\jstern77\OneDrive - UW Office 365\REDCap Examples\SAS\Source Data\'; libname output 'C:\Users\jstern77\OneDrive - UW Office 365\REDCap Examples\SAS\Output Data\'; /* This file restructures the REDCap data file into Enrollment (1 record per subject), Follow-up (1 record per visit), and Labs (1 record per visit) files. */ *VISIT: ENROLLMENT. ; data enrollment; set source.redcap; ********************************************** *KEEP DESIRED EVENT: ENROLLMENT. proc freq data=enrollment; tables redcap_event_name*crfversion_en / missing; data enrollment; set enrollment; if redcap_event_name='enrollment_arm_1'; if crfversion_en>.; proc freq data=enrollment; tables redcap_event_name*crfversion_en / missing; data enrollment; set enrollment (rename=(study_id=study_id_en redcap_event_name=redcap_event_name_en)); ********************************************** *KEEP VARIABLES FOR THE CRF: VISIT. data enrollment; set enrollment; keep study_id_en redcap_event_name_en crfversion_en -- dbasecomment5_en enrollment_en_complete; data enrollment; set enrollment; en_indata=1; proc sort data=enrollment;by ptid_en; data output.visits_enroll0_vars; set enrollment; *Merge with main1; 12

13 *VISIT: FOLLOWUP. ; data followup; set source.redcap; ********************************************** *KEEP DESIRED EVENT: FOLLOWUP. proc freq data=followup; tables redcap_event_name*crfversion_cfu / missing; data followup; set followup; if redcap_event_name='followup_6month_arm_1' redcap_event_name='followup_12month_arm_1'; if crfversion_cfu>.; proc freq data=followup; tables redcap_event_name*crfversion_cfu / missing; data followup; set followup (rename=(study_id=study_id_cfu redcap_event_name=redcap_event_name_cfu)); ********************************************** *KEEP VARIABLES FOR THE CRF: VISIT. data followup; set followup; keep study_id_cfu redcap_event_name_cfu crfversion_cfu -- dbasecomment5_cfu child_followup_cfu_complete; data followup; set followup; cfu_indata=1; proc sort data=followup;by ptid_cfu visitcode_cfu; data output.visits_followup0_vars; set followup; *Merge with longitudinal1; 13

14 *LABS: ENROLLMENT+FOLLOWUP. PREPARE TO MERGE WITH LONGITUDINAL. ; data labs; set source.redcap; ********************************************** *KEEP DESIRED EVENT: FOLLOWUP. proc freq data=labs; tables redcap_event_name*crfversion_clr / missing; data labs; set labs; if redcap_event_name='enrollment_arm_1' redcap_event_name='followup_6month_arm_1' redcap_event_name='followup_12month_arm_1'; if crfversion_clr>.; proc freq data=labs; tables redcap_event_name*crfversion_clr / missing; data labs; set labs (rename=(study_id=study_id_clr redcap_event_name=redcap_event_name_clr)); ********************************************** *KEEP VARIABLES FOR THE CRF: VISIT. data labs; set labs; keep study_id_clr redcap_event_name_clr crfversion_clr -- dbasecomment5_clr child_lab_results_clr_complete; data labs; set labs; clr_indata=1; proc sort data=labs;by ptid_clr visitcode_clr; data output.labs0_vars; set labs; *Merge with longitudinal1; *END. ; 14

SAS 101. Based on Learning SAS by Example: A Programmer s Guide Chapter 21, 22, & 23. By Tasha Chapman, Oregon Health Authority

SAS 101. Based on Learning SAS by Example: A Programmer s Guide Chapter 21, 22, & 23. By Tasha Chapman, Oregon Health Authority SAS 101 Based on Learning SAS by Example: A Programmer s Guide Chapter 21, 22, & 23 By Tasha Chapman, Oregon Health Authority Topics covered All the leftovers! Infile options Missover LRECL=/Pad/Truncover