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The GroupingFactor class is used in the reporting event's analysisGroupings
attribute to define grouping factors, which are characteristics used to subdivide the subject population or analysis dataset records into groups for analysis. Examples of grouping factors include subject characteristics (such as sex or age group), planned or actual treatment, "system organ class" or "preferred term" in an adverse events analysis dataset, and "parameter" or "visit" in a vital signs analysis dataset. Each grouping factor may either contain a set of specified groups (e.g., “Male” and “Female” for a sex grouping) or be defined as "data-driven", where the group values are obtained from the data (e.g., "system organ class" or "preferred term" for adverse events). Jira showSummary false server Issue Tracker (JIRA) serverId 85506ce4-3cb3-3d91-85ee-f633aaaf4a45 key ARSP-28
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See the WhereClauseCompoundExpression section for an example of predefined groups created as compound expressions containing instances of the ReferencedGroup class to reference other groups by identifier. | ARSP:analysisGroupings: Dataset Records | ARSP:analysisGroupings: Dataset Records
Once a grouping factor has been defined in the analysisGroupings attribute of the reporting event, it can be used in the specification of any analysis by including its identifier value in the groupingId attribute of 1 of the instances of the OrderedGroupingFactor class in the orderedGroupings attribute of the analysis. In general, grouping factors are defined with reference to a single grouping variable. However, multiple separate grouping factors may be referenced in the specification of an analysis, so it is possible to define analyses of subjects and data records that are grouped by multiple factors.
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