Data Mining Runs Producing Disproportionality Scores

Oracle Empirica Signal performs the following data mining runs to calculate disproportionality scores for drug-event terms for various subpopulations. Signal executes these runs on the data configuration specified for Data configuration for 2D runs in the signal configuration, and names the runs in accordance with that data configuration.

For example, if the data configuration specified under Data configuration for 2D runs is 2017Q3: AERS+SRS (S), or an alias for 2017Q3: AERS+SRS (S), then the All run will be named 2017Q3: AERS+SRS (S) - All. If the data configuration specified under Data configuration for 2D runs is 2017Q3: AERS (S+C), or an alias for 2017Q3: AERS (S+C), then the All run will be named 2017Q3: AERS (S+C) - All.

The runs use the Drug and Event variables for the 2D runs from the signal configuration as item variables.

The runs are stratified using the Stratification variables from the signal configuration.

In the descriptions that follow, the values shown in angle brackets (<>) represent values from the AERS signal configuration.

• All
  Oracle Empirica Signal executes this data mining run using all reports in AERS.
• Adult only
  This data mining run is restricted to adult reports only.
• Elderly only
  This data mining run is restricted to elderly reports only.
• Fatal only
  This data mining run is restricted to reports with a fatal outcome only.
• Female only
  This data mining run is restricted to female reports only.
• Male only
  This data mining run is restricted to male reports only.
• Pediatric only
  This data mining run is restricted to pediatric reports only.
• Serious only
  This data mining run is restricted to serious reports only.
• US only
  This data mining run is restricted to reports from US only.