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Estimating hazard ratios from published Kaplan‐Meier survival curves: A methods validation study
Research Synthesis Methods, 2019Various statistical methods have been developed to estimate hazard ratios (HRs) from published Kaplan‐Meier (KM) curves for the purpose of performing meta‐analyses.
R. Saluja +3 more
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A Cautionary Note on Extended Kaplan-Meier Curves for Time-varying Covariates.
Epidemiology, 2020The Kaplan-Meier curve is a standard statistical tool that is used in cohort studies to illustrate how survival during follow-up depends on time-fixed covariates that are measured at baseline.
A. Sjölander
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Understanding Kaplan-Meier and Survival Statistics
The International Journal of Prosthodontics, 2013This paper aims to explore the mathematics of Kaplan-Meier and survival statistics, explain how the mathematics are relevant for prosthodontic treatment planning, and provide advice for future presentation of such data.The mathematics of the Kaplan-Meier and related survival statistic formulas were explored with hypothetical data consisting of 100 ...
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Understanding survival analysis: actuarial life tables and the Kaplan-Meier plot.
British journal of hospital medicine, 2019Survival analysis is a set of methods used to study the time between enrollment in a study and the occurrence of an event of interest. Two methods are commonly used: actuarial life tables and the Kaplan-Meier approach for survival analysis.
A. Barakat +3 more
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On an exponential bound for the Kaplan–Meier estimator
Lifetime Data Analysis, 2007We review limit theory and inequalities for the Kaplan-Meier Kaplan and Meier (J Am Stat Assoc 53:457-481, 1958) product limit estimator of a survival function on the whole line [Formula: see text] . Along the way we provide bounds for the constant in an interesting inequality due to Biotouzé et al.
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Teaching Statistics, 2016
SummarySurvival is difficult to estimate when observation periods of individuals differ in length. Students imagine sailing the Titanic and then recording whether they "live" or "die". A clever algorithm is performed which results in the Kaplan‐Meier estimate of survival.
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SummarySurvival is difficult to estimate when observation periods of individuals differ in length. Students imagine sailing the Titanic and then recording whether they "live" or "die". A clever algorithm is performed which results in the Kaplan‐Meier estimate of survival.
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Biometrics, 2019
Asymptotic distributions under alternative hypotheses and their corresponding sample size and power equations are derived for nonparametric test statistics commonly used to compare two survival curves.
Godwin Yung, Yi Liu
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Asymptotic distributions under alternative hypotheses and their corresponding sample size and power equations are derived for nonparametric test statistics commonly used to compare two survival curves.
Godwin Yung, Yi Liu
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2003
Publisher Summary The Kaplan–Meier (K–M) integrals are analogs of empirical integrals when the data are subject to right censoring. They may be viewed as basic statistics to which more complicated quantities may be traced back through linearization.
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Publisher Summary The Kaplan–Meier (K–M) integrals are analogs of empirical integrals when the data are subject to right censoring. They may be viewed as basic statistics to which more complicated quantities may be traced back through linearization.
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Source code survival with the Kaplan Meier
2011 27th IEEE International Conference on Software Maintenance (ICSM), 2011The presence of dead code may affect the comprehensibility, the readability, and the size of source code so increasing the effort and the cost for maintenance. The elimination of dead code needs a huge cost and effort for recognizing and eliminating code that is not effectively used.
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Giornale italiano di nefrologia : organo ufficiale della Societa italiana di nefrologia, 2005
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 ...
G, Tripepi, F, Catalano
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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 ...
G, Tripepi, F, Catalano
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