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

Journal Article (Journal Article)

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

Full Text

Duke Authors

Cited Authors

  • Le-Rademacher, J; Wang, X

Published Date

  • July 2021

Published In

Volume / Issue

  • 16 / 7

Start / End Page

  • 1067 - 1074

PubMed ID

  • 33887465

Electronic International Standard Serial Number (EISSN)

  • 1556-1380

Digital Object Identifier (DOI)

  • 10.1016/j.jtho.2021.04.004

Language

  • eng

Conference Location

  • United States