Data mining runs producing disproportionality scores
Oracle Empirica Signal performs the following data mining runs to calculate disproportionality scores for product-event terms for various subpopulations.
- One run computed using all reports in VAERS.
- A second run computed on all reports in VAERS but is not subsetted and includes RGPS.
- A third run restricted to US-only reports.
- Seven additional runs corresponding to the following areas of interest: adult, elderly, fatal, female, male, pediatric, and serious
For all of the runs described in this section, the events are at the preferred term or narrow-algorithmic SMQ level of the MedDRA hierarchy.
Oracle Empirica 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 20210731_VAERS, or an alias for 20210731_VAERS, then the All run will be named 20210731_VAERS - All.
In the descriptions that follow, the values shown in angle brackets (<>) represent values from the VAERS signal configuration.
- VAERS All
Oracle Empirica Signal executes this data mining run using all reports in VAERS. - VAERS All RGPS
Oracle Empirica Signal executes this data mining run using all reports in VAERS, including RGPS. - VAERS US only
This data mining run is restricted to US-only reports in VAERS. - VAERS Elderly only
This data mining run is restricted to elderly reports in VAERS. - VAERS Fatal only
This data mining run is restricted to reports with a fatal outcome in VAERS. - VAERS Female only
This data mining run is restricted to female reports in VAERS. - VAERS Male only
This data mining run is restricted to male reports in VAERS. - VAERS Pediatric only
This data mining run is restricted to pediatric reports in VAERS. - VAERS Serious only
This data mining run is restricted to serious reports in VAERS.
Parent topic: Standard data mining runs