Time-To-Event Data: An Overview and Analysis Considerations.
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.
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Related Subject Headings
- Survival Analysis
- Progression-Free Survival
- Oncology & Carcinogenesis
- Lung Neoplasms
- Kaplan-Meier Estimate
- Humans
- 3211 Oncology and carcinogenesis
- 3202 Clinical sciences
- 1112 Oncology and Carcinogenesis
- 1103 Clinical Sciences
Citation
Published In
DOI
EISSN
Publication Date
Volume
Issue
Start / End Page
Location
Related Subject Headings
- Survival Analysis
- Progression-Free Survival
- Oncology & Carcinogenesis
- Lung Neoplasms
- Kaplan-Meier Estimate
- Humans
- 3211 Oncology and carcinogenesis
- 3202 Clinical sciences
- 1112 Oncology and Carcinogenesis
- 1103 Clinical Sciences