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Find variables that are
potential related records used with
%relrec
%findrel (datlib = library to data,
dataset = set of datasets,
newsch = set of new search criteria,
output = html file);
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Where |
Is Type... |
And represents... |
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datlib | C
(200) | Library
name to the location where datasets containing the datasets with related
records. |
| dataset | C
(400) | Set of
datasets in current library. Dataset is formed as follow:
ae demog conmed adverse. If dataset is left blank the
macro search through all datasets in the library. |
newsch
(optional) | C
(300) | set of
user's new search criteria |
output
(optional) | C
(300) | The
full path includes a file name and an extension "html". | Details
This macro searches through all the datasets specified by the
library and find potential variables that are related records within the
CDISC SDTM model. The search criteria will find matches in the
variable label or variable names with the following words:
- relat
- concern
- about
- connect
- compar
- similar
- like
- to
Note that the word "to " is followed by a space. A report will be generated
detailing the variables that have met the matching criteria. The
report also lists the domains as recommendations to help identify which
domain the variable is related to. Valid domains include:
Special-Purpose Domains:
Demographics - DM
Comments - CO
Interventions:
Concomitant Medications - CM
Exposure - EX
Substance Use - SU
Events:
Adverse Events - AE
Disposition - DS
Medical History - MH
Findings:
ECG Tests - EG
Inclusion/Exclusion Exceptions - IE
Laboratory Tests - LB
Questionnaires - QS
Physical Examinations - PE
Subject Characteristics - SC
Vital Signs - VS
Trial Design Domains:
Trial Elements - TE
Trial Arms - TA
Trial Visits - TV
Subject Elements - SE
Subject Visits - SV
Trial Inclusion/Exclusion Criteria - TI Example %findrel (datlib = inlib,
dataset = demog ae);
%findrel (datlib = inlib,
dataset = demog ae,
output = c:\cdisbld\output\findrel.html);
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