Adding segments lets you separate events into meaningful groups. This is useful to easily compare results and changes based on a specific property of interest.
Example use-cases include:
Comparing the placebo group with the active treatment group by segmenting per Patient ► Arm
Seeing results for each individual patients separately by segmenting per Patient ► Id
Finding the most frequent AEs by segmenting per Adverse Event ► Term
Creating a Segment
Click on Segments in the panel configuration menu to add a new segment.
Then select the domain and property that you want to use to segment the dataset.
The panel will immediately be updated with the new results.
You can always select properties from the Patient domain because all events have an associated patient. Moreover, you can select properties from the same domain than you selected under Events.
For example, in the Adverse Events histogram showcased above, it's possible to segment the Adverse Events data by both Patient and Adverse Event properties.
Cascading multiple segments
There is no limit to the number of segments you can add! Try to add multiple segments to understand complex relationships in your dataset.
The following shows the result of segmenting Adverse Events by Term and then by Severity. Such cascading segments may reveal valuable insights.
Segment by Time
It's also possible to segment by time intervals to understand how data correlates with time intervals. You can find various time interval segment options available under the Segment filter. Options include segmenting by time point, study date, study week, visit, or visit number, depending on what is available within your data set.
In the example below, ECG values are segmented by Study Week.
