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This section describes how the SDTM will be implemented to represent relationships between records within a datasetdomain, between records in different datasets, 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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- Unique values for each Each observation within a dataset.
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- 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
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, the variable represented in IDVAR will have values from collected data (e.g., --SPID,
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--
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RECID)
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In such cases, IDVAR and IDVARVAL the names of variables and specific variable values which relate records by acting as
The following are examples of variables that could be used in IDVAR:
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, when possible. When this is not possible, variables with derived values may also be used (e.g., --SEQ
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When possible, the variable represented in IDVAR will have values from collected data
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, LNKID, --LNKGRP).
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