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This section describes how the SDTM may will be implemented to describe distinct types of relationships.
All relationships make use of the standard domain identifiers STUDYID, DOMAIN, and USUBJID. In addition, the variables IDVAR and IDVARVAL are used for identifying record-level merge/join keys. These keys are used to tie information together by linking records. The specific set of identifiers necessary to properly identify each type of relationship is described in detail in the following sections. The following are examples of variables that could be used in IDVAR:
represent relationships between records 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 variable and value pairs used as record-level keys to merge/join records between datasets.
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- 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
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(e.g., --SPID, --RECID),
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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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