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DOI: 10.4103/ijmpo.ijmpo_35_20
Survival Plots
Financial support and sponsorship Nil.Introduction
Survival plot is usually a short note. It was asked in December 2019 DNB final theory examination. Let us look at this to understand survival plots which is one of the most common plots we see in oncology trials, and most drug approvals, are based on improvement in various survival times. There are various terms associated with survival analysis.
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Survival analysis: it is a different branch of statistics, that mainly deals with analyzing the outcome of patients till some event of interest occurs, or simply an analysis to estimate the survival of patients in a given set of data
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Survival time is the “statistics that measures time of follow-up from a predefined point of start (i.e., from the time of randomization or diagnosis) to the occurrence of a given event (relapse, progression, or death),”
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Survival plot/survival curve is a term that is “used to represent a group of plots that are constructed based on the time to event data.” It measures the fractions or percentage of patients living for a particular or specific amount of time after randomization, intervention, or treatment.
Publication History
Received: 31 January 2020
Accepted: 04 June 2020
Article published online:
17 May 2021
© 2020. Indian Society of Medical and Paediatric Oncology. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/.)
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