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.

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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
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article

Time-to-event analysis

Priya Ranganathan, C.S. Pramesh, Vishal Deo
3 citations
Perspectives in Clinical Research
Lung Cancer Treatments and Mutations
4.56
article

Time-to-event analysis

Priya Ranganathan, C.S. Pramesh, Vishal Deo
article en
3 citations

Abstract

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.

Perspectives in Clinical ResearchVol. 16(2)
Homi Bhabha National Institute (IN), Tata Memorial Hospital (IN), Indian Council of Medical Research (IN)
Openalex Percentile: Top 6%
Lung Cancer Treatments and Mutations
4.56
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