ms_setnumloopmacrovars.sas File Reference

This utility macro is used to set macro variables related to a particular group during the numerators processing (ms_cidanum) based on the type of analysis being executed. More...

Detailed Description

This utility macro is used to set macro variables related to a particular group during the numerators processing (ms_cidanum) based on the type of analysis being executed.

• Enrollment parameters:
  
  • Minimum Enrollment days before exposure.
    
  • Minimum Enrollment days after exposure index date.
    
  • Enrollment gap.
    
  • Compound name for suffix of elig file.
    
• Demographic criteria:
  
  • Age stratification.
    
  • Sex values.
    
  • Race values.
    
  • Hispanic values.
    
• HDPS variables.
  
• Type 1 cohort definition.
  
• Type 2 cohort definition:
  
  • Read in COHORTCODES files to check codesupply value.
    
    • If mincfdd or maxcfdd is specified, codesupply cannot be defined.
      
  • If MINCUMDOSE is set, then washper must be 0, cumdoseper cannot be missing, AUTOPREV must be N.
    
  • Set rxsupvar/rxamtvar when dose is used.
    
  • Set outputdenom to Y if neverexposedcohort = Y.
    
  • Minimum Enrollment days after episode end.
    
  • Set OUTPUTDENOM to Y if &ITGROUP. is a primary group in multiple events/overlap analysis.
    
• Type 3 cohort definition:
  
  • Determine if there are no control window.
    
  • Check if risk and control windows overlap.
    
• Type 4 cohort definition:
  
  • Primary Cohort parameters.
    
  • Secondary Cohort parameters.
    
    • Read in COHORTCODES files to check codesupply value.
      
  • MOI evaluation.
    
  • Pregnancy outcome parameters.
    
• Type 5 cohort definition:
  
  • Episode creation after index.
    
• Type 6 cohort definition:
  
  • Custom warning when T6CohortDef = 01.
    
  • Custom warning when Censor_dth = N.
    
  • Assign t6vars variable.
    
• All types for Baseline Table 1:
  
  • Compute variables to assess enrollment in covariate window.
    
  • Dose evaluation period.
    
  • Secondary events analysis, observation window.
    
  • TREE washout period:
    
    • Take maximum treewashper for the group.
      
    • If type 2, then determine analysisgrp.
      
      • PSMATCH, PSIPTW and PSSTRATIFICATION creation of analysisgrp.
    • If type 4, then evaluate in the ms_createmicohorts macro.
  • Inclusioncodes:
    
    • Determine if inclusion/exclusion codes for the cohort and extract highest CONDFROM value among inclusions/exclusions (if any).
      
    • For type 2, if cohortgrp is not equal to basecohort, then use basecohort.
  • Cohortcodes:
    
    • For type 2, if CFDD criteria is specified, index defining codes must have the same SAMEDAY value in the STOCKPILING file.

Program inputs

• &INCLUSIONCODES. (Dataset containing inclusion/exclusion codes for the cohort.)
• infolder.&&PSFILE_CURRENT. (Dataset for PS matching (&PSMATCHFILE.), IPTW (&IPTWFILE.) and/or PS stratification (&STRATIFICATIONFILE.).)
• infolder.&COHORTCODES. (Dataset with codes used to define exposures and outcomes of interest.)
• infolder.&CONCFILE. (Dataset to specify GROUP values from a Type 2 analysis and perform additional analyses.)
• infolder.&MICOHORTFILE. (Dataset for Type 4 analysis with pregnancy cohorts among pregnancies matched to an infant specification.)
• infolder.&PSESTIMATIONFILE. (Dataset with the parameters for estimating a PS model and is required for PS-based analyses.)
• infolder.&TREATMENTPATHWAYS. (Dataset with identification and computation of switch pattern episodes.)
• infolder.&TREEFILE. (Dataset with parameters required to execute multiple SI analyses from a basic QRP execution.)
• infolder.&TYPE1FILE. (Dataset required for a background rate calculation cohort identification strategy.)
• infolder.&TYPE3FILE. (Dataset required for a self-controlled risk interval design cohort identification strategy.)
• infolder.&TYPE4FILE. (Dataset required for a pregnancy episodes identification strategy.)
• infolder.&TYPE5FILE. (Dataset required for medical product utilization cohort identification strategy.)
• infolder.&TYPE6FILE. (Dataset required for evaluating manufacture level product utilization and switching patterns.)
• work.cohortfile_for_enr (Dataset where same basecohort are grouped and assess order to process them correctly.)
• work.hdps (Dataset containing combination items that behave like DX (&DPLOCALLIB.&outname._diag and worktemp._diagextract).)
• work.secondaryinputfile (Dataset for secondary episode analysis.)
• work.type2file (Dataset for utilization.)

Program outputs

• work._it&INCLUSIONCODES. (Dataset with inclusion/exclusion definition.)

Usage

%ms_setnumloopmacrovars();

Parameters

None.

SAS Macros Dependencies

None.

Author

Sentinel Coordinating Center (info@.nosp@m.sent.nosp@m.inels.nosp@m.yste.nosp@m.m.org)