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  2. Surviving Time to Event Ana...
  3. Surviving Time to Event Ana...

    Surviving Time to Event Analysis

    • Overview

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    Description

    Time to event analysis (survival analysis) has been used for many years in study designs in clinical research. Implementing a successful clinical trial utilizing time to event analysis requires a basic understanding of the of the statistical methodology, the clinical trial endpoints, the data, and how all of these factors are related. The most common method used in time to event analysis is Kaplan-Meier Analysis. This method uses all data whether the event has occurred or will occur some time in the future. This webinar will provide a basic description of Kaplan-Meier analysis and the endpoints and the data used in time to event analysis. Finally, considerations relevant to clinical data management will be presented with respect to time to event analysis.

    Webinar Objectives: 

    • Understand basic statistical concepts underlying time to event analysis.
    • Identify some of the clinical trial endpoints used in time to event analysis.
    • Describe the data required for time to event analysis.
    • Understand the events associated with each type of endpoint presented.

    Contributors

    • Tim Breen

      Tim was the Director of Clinical Research Informatics for the Hoosier Cancer Research Network for over nine years and retired in 2019. He has been involved in clinical research for more than 20 years. His interests are in the quality of data and the development of methods to efficiently maintain quality data. He has been the Chair of the SCDM Webinar Committee since 2009.

    March 24, 2022
    Thu 5:00 PM CET

    Duration 1H 30M

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