1. SAP Glossary
  2. SAP Medical Research Insights
  3. censoring event


What is censoring event in SAP IS-PMED-MRI - SAP Medical Research Insights?


SAP Term: censoring event

  • Component: IS-PMED-MRI

  • Component Name: SAP Medical Research Insights

  • Description: In a Kaplan-Meier survival curve, the date after which a patient whose vital status is undefined is censored from the number of survivors.


Smart SAP Assistant

  • Key Concepts: 
    A censoring event is a type of event that occurs in the SAP Medical Research Insights (IS-PMED-MRI) module. It is used to indicate that a patient has left the study before the end of the study period, or that the patient has not experienced the event being studied. Censoring events are used to provide more accurate results when analyzing data from clinical trials.
    
    How to use it: 
    In order to use censoring events in SAP Medical Research Insights, you must first define the censoring event in the system. This can be done by creating a new censoring event and assigning it to a specific patient or group of patients. Once the censoring event has been defined, it can be used to filter data from clinical trials and provide more accurate results.
    
    Tips & Tricks: 
    When defining a censoring event in SAP Medical Research Insights, it is important to ensure that all relevant information is included. This includes the date of the event, the reason for the event, and any other relevant information that may be needed for analysis. Additionally, it is important to ensure that all censoring events are properly documented so that they can be easily referenced in future analyses.
    
    Related Information: 
    Censoring events are an important part of analyzing data from clinical trials. For more information on how to use censoring events in SAP Medical Research Insights, please refer to the official documentation provided by SAP. Additionally, there are many online resources available that provide additional information on how to use censoring events in SAP Medical Research Insights.
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