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[Kaplan-Meier analysis].

Giovanni Tripepi, Franco Catalano

Open publisher page 10 citations

Abstract

Kaplan-Meier analysis is largely used in nephrology to estimate a population survival curve from a sample. If patients are followed-up until death, the survival curve can be estimated simply by computing the fraction survival at each time point. Kaplan-Meier analysis allows the estimation of survival over time, even when patients drop out or are studied for different lengths of time. In Kaplan-Meier analysis, the comparison between two survival curves is made by the log-rank test.

About this research paper

What this paper is about

Kaplan-Meier analysis is largely used in nephrology to estimate a population survival curve from a sample. If patients are followed-up until death, the survival curve can be estimated simply by computing the fraction survival at each time point. Kaplan-Meier analysis allows the estimation of survival over time, even when patients drop out or are studied for different lengths of time. In Kaplan-Meier analysis, the comparison between two survival curves is made by the log-rank test.

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OpenAlex reports 10 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Kaplan-Meier analysis is largely used in nephrology to estimate a population survival curve from a sample. If patients are followed-up until death, the survival curve can be estimated simply by computing the fraction survival at each time point. Kaplan-Meier analysis allows the estimation of survival over time, even when patients drop out or are studied for different lengths of time. In Kaplan-Meier analysis, the comparison between two survival curves is made by the log-rank test.

Key concepts: Survival analysis, Log-rank test, Statistics, Proportional hazards model, End point, Population, Time point, Drop out

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