1. Click the Data Mining Runs tab.
The Data Mining Runs page appears.
2. Click the row menu () for the run, and then click View Results.
or
Click the Data Mining Results tab.
The Select Criteria page appears.
3. From the Run name drop-down list, select the two-dimensional MGPS run you want to view. (Your user preference, Default Run, determines which run, if any, is selected by default.) You can also click Browse next to the Run name field to find and select a run.
4. Type at least one, but no more than five, drug names
5. Click Choose Graph.
The Choose Graph page appears.
6. Select a sector map graph.
7. On the Sector Map page, specify the following display options:
Column |
Description |
Subset |
Available only if you selected All on the Select Criteria page. The available subsets are all those selected during run creation. |
Color controlled by |
Name of the statistic whose values will be ranked and used for coloring the sector map tiles. Available values are those computed by the data mining run and include EBGM, EB05, ERAM, ER05, Chi-statistic (signed), and PRR. |
Term box size controlled by |
The factor that controls the size of PT tiles:
Note: For PTs that are new in the MedDRA version associated with the AERS data used to assess public health impact, the application cannot determine the tile size. The application represents these PTs as small tiles.
|
Display maximum intensity at signal score of __ |
Displays all tiles for which scores are above this value at the maximum-intensity color, as shown in the color key below the graph. |
Use gray-scale instead of colors |
Use shades of gray instead of colors in the graph. |
Show low scores in green for color graph |
Check to show low scores in varying shades of green. Clear to show low scores in black. Note: This setting has no effect if you display the sector map in gray-scale. |
Omit rare terms used fewer than __ times in AERS |
Number indicating how many times a PT must be in the AERS database (the same one used for Relative importance of term) for that PT to be shown in the sector map. Note: The notes for a sector map indicate any rare terms that are omitted because of this restriction. |
Group by HLT |
Within a SOC tile, group in the same rectangular area the tiles for PTs that are in the same HLT. If you also group by HLGT, the tiles for PTs are grouped by HLT within each HLGT. |
Group by HLGT |
Within a SOC tile, group in the same rectangular area the tiles for PTs that are in the same HLGT. |
List __ top scores |
Number indicating how many (up to 1000) terms with the top scores are ranked and listed below the sector map. The score is the statistic selected for Color controlled by. If multiple terms have the same score, the application counts each term separately. For example,you enter 20 as the limit. If the 20th row has a score that other terms after that also have, the application shows those additional terms as well. |
Show top score indexes |
If checked, the application numbers tiles in the sector map to show their rank, up to the number of scores specified in List __ top scores. For this option to take effect, there must also be a value specified for List __ top scores. |
8. Click Display.
9. If you point to a PT tile, the MedDRA PT, HLT, HLGT, and SOC appear. The following information for the combination of the drug and the term that the tile represents also appears:
Note: The ERAM and ER05 are available only if the data mining run was set up to compute RGPS.
Note: The PRR and Chi-statistic are available only if the data mining run was set up to compute PRR.
10. To zoom in on a particular SOC, click anywhere on the SOC tile and select Zoom from the menu.
11. If you click a tile for which N is at least 1, you can then drill down to a list of cases for the tile or view statistics for the tile.
12. To save the graph as an attachment to a topic, click Save to Topic. (This option is available if Links is checked and the topics feature has been set up.) The graph is attached in a PDF file.
See Working with results graphs for information about links below the graph. For best results, print the sector map graph in landscape mode.
Related topic