Compare Cohorts
Up to four cohorts can be compared. Once comparisons are created, they are saved in the
Comparisons
left-navigation tab of the Cohorts module.- 1.Select
Cohorts
from the left-navigation panel. - 2.Select 2 to 4 cohorts already created. If you have not created any cohorts, See Create a Cohort documentation.
- 3.Click
Compare Cohorts
in the right-navigation panel. - 4.Note you are now in the
Comparisons
left-navigation tab of the Cohorts module. - 5.In the
Charts
Section, if theCOHORTS
item is not displayed, click the gear icon in the top right and addCohorts
as the first attribute and clickSave
. - 6.The
COHORTS
item in the charts panel will provide a count of subjects in each cohort and act as a legend for color representation throughout comparison screens. - 7.For each clinical attribute category, a bar chart is displayed. Use the gear icon to select attributes to display in the charts panel.
- 1.Select the
Attributes
tab, as it is not selected by default. - 2.Attribute categories are listed and can be expanded using the down-arrows next to the category names. The categories available are based on cohorts selected. Categories and attributes are part of the ICA Cohorts metadata template that map to each Subject.
- 3.For example, use the drop-down arrow next to
Vital status
to view sub-categories and frequencies across selected cohorts.
- 1.Select the
Survival Summary
tab. - 2.Attribute categories are listed and can be expanded using the down-arrows next to the category names.
- 3.Select the drop-down arrow for
Therapeutic interventions
. - 4.In each subcategory there is a sum of the subject counts across select cohorts.
- 5.For each cohort, designated by a color, there is a
Subject count
andMedian survival (years)
column. - 6.Type
Malignancy
in the Search Box and an auto-complete dropdown suggests three different attributes. - 7.Select
Synchronous malignancy
and the results are automatically opened and highlighted in orange.
- 1.Click
Survival Comparison
tab. - 2.A Kaplan-Meier Curve is rendered based on each cohort.
- 3.P-Value Displayed at the top of Survival Comparison indicates whether there is statistically significant variance between survival probabilities over time of any pair of cohorts (CI=0.95).
When comparing two cohorts, the P-Value is shown above the two survival curves. For three or four cohorts, P-Values are shown as a pair-wise heatmap, comparing each cohort to every other cohort.
Last modified 1mo ago