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This section describes how the SDTM will be implemented to describe represent relationships between records in the same dataset and within a domain, between records in different domains,
and between datasets. Jira showSummary false server Issue Tracker (JIRA) serverId 85506ce4-3cb3-3d91-85ee-f633aaaf4a45 key TOBA-797
When applicable, variables IDVAR and IDVARVAL will represent variables variable and values value pairs used as record-level keys to merge/join records between datasets.
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The following are examples of variables that could be used in IDVAR:
variables represented in IDVAR may have values that are unique for:
- Each observation within a domain
- Groups of observations within a domain
The uniqueness of values by observation or groups of observations can be used to represent relationships efficiently. In cases where values are unique to observations, the variable represented in IDVAR will have values from collected data
...
(e.g., --SPID, --RECID),
...
when possible. When this is not possible, variables with derived values may also be used (e.g., --SEQ
...
When possible, the variable represented in IDVAR will have values from collected data
...
, LNKID, --LNKGRP).
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