Kaplan-Meier Survival Curve
Learn to build and use Kaplan-Meier Survival Curve charts in the Cohort Browser.
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Learn to build and use Kaplan-Meier Survival Curve charts in the Cohort Browser.
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To generate a survival chart, select one numerical field representing time, and one categorical field, which will be transformed into the individual’s status.
The categorical field should use one of the following 4 terms (case-insensitive) to indicate a status of "Living": “living”, “alive”, “diseasefree”, “disease-free”
For multi-entity datasets, survival curve charts only support data fields from the main entity, or entities with 1:1 relation to the main entity.
To calculate survival percent at the current event the system evaluates the following formula:
ST: Survival at the current event
LT0: Number of subjects living at the start of the period or event
D: Number of subjects that died
For each time period the following values are generated:
Status: Each individual is considered Dead unless they qualify as Living.
Number of Subjects Living at the Start (LT0)
For the initial value this is the total number of records returned by the backend from survival data with Living or Dead Status.
For followup events this is the number of subjects at the start of the previous event minus the number of subjects that died in the previous event and the subjects that dropped out or were censored in the previous event.
Number of Subjects Who Died (D): * 1 for each individual who at the event does not have a status of Living.
Number of Subjects Dropped or Censored: * 1 for each individual who at the event has a status of Living
ST-1: Survival percent at the previous event
Note that this is the actual point drawn on the survival plot.
Survival Percent at the Current Event (ST)
Cumulative Survival (S)
