Time-to-event analysis
Survival analysis (or time-to-event analysis) deals with data where the outcome of interest is the length of time until the occurrence of an event. This type of analysis is unique because the event may not occur in all participants (known as censoring). A previous article in this journal covered the basic aspects of conventional survival analysis. In this article, we discuss two unique features - nonproportional hazards (PH) and competing risks.
Authors
- Priya Ranganathan (ORCID: https://orcid.org/0000-0003-1004-5264)
- C.S. Pramesh (ORCID: https://orcid.org/0000-0002-3635-0083)
- Vishal Deo
Institutions
- Homi Bhabha National Institute (IN)
- Tata Memorial Hospital (IN)
- Indian Council of Medical Research (IN)
Publication Details
- Journal
- Perspectives in Clinical Research
- Published
- 2025-04-01
- DOI
- https://doi.org/10.4103/picr.picr_52_25
- Citations
- 3
- Primary Topic
- Lung Cancer Treatments and Mutations
- Type
- article
- Field-Weighted Citation Impact
- 4.56