Time-To-Event Data: An Overview and Analysis Considerations

In oncology, overall survival and progression-free are common time-to-event end points used to measure treatment efficacy. Analyses of this type data rely on a complex statistical framework the analysis results only valid when meet certain assumptions. This article provides an overview data, basic mechanics methods, issues often encountered analyzing such data. Our goal is provide clinicians other lung cancer researchers with knowledge choose appropriate methods interpret outcomes analyses appropriately. We strongly encourage investigators seek out statisticians expertise in embarking studies that include ensure their collected analyzed using methods.