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Frontiers in Public Health, 2022 In case of heavy and even moderate censoring, a common problem with the Greenwood and Peto variance estimators of the Kaplan–Meier survival function is that they can underestimate the true variance in the left and right tails of the survival distribution.
Habib Nawaz Khan +6 more
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A Berry-Esseen Type Bound in Kernel Density Estimation for Negatively Associated Censored Data
Journal of Applied Mathematics, 2013 We discuss the kernel estimation of a density function based on censored data when the survival and the censoring times form the stationary negatively associated (NA) sequences.
Qunying Wu, Pingyan Chen
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Epidemiology, Biostatistics and Public Health, 2022 Survival analysis is a powerful statistical tool to study failure-time data. In introductory courses students learn how to describe right-censored survival time data using the product-limit estimator of the survival function on a given end-point relying
Davide Paolo Bernasconi +1 more
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Epidemiology, Biostatistics and Public Health, 2013 Survival analysis is a powerful statistical tool to study failure-time data. In introductory courses students learn how to describe right-censored survival time data using the product-limit estimator of the survival function on a given end-point relying ...
Davide Paolo Bernasconi, Laura Antolini
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A COMPARISON OF NONPARAMETRIC ESTIMATORS FOR LENGTH DISTRIBUTION IN LINE SEGMENT PROCESSES
Image Analysis and Stereology, 2019 We study nonparametric estimation of the length distribution for stationary line segment processes in the d-dimensional Euclidean space. Several methods have been proposed in the literature. We review different approaches (Horvitz-Thompson type estimator,
Zbynek Pawlas, Marketa Zikmundova
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Assessing Dominance in Survival Functions: A Test for Right-Censored Data
MathematicsThis paper proposes a new statistical test to assess the dominance of survival functions in the presence of right-censored data. Traditional methods, such as the Log-Rank test, are inadequate for determining whether one survival function consistently ...
Félix Belzunce +2 more
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Asymptotic convergence in distribution of the area bounded by prevalence-weighted Kaplan–Meier curves using empirical process modelling [PDF]
Royal Society Open Science, 2018 The Kaplan–Meier product-limit estimator is a simple and powerful tool in time to event analysis. An extension exists for populations stratified into cohorts where a population survival curve is generated by weighted averaging of cohort-level survival ...
Aaron Heuser +2 more
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Análisis de supervivencia aplicado a la banca comercial venezolana, 1996 – 2004
Revista Colombiana de Estadística, 2007 Se utiliza el análisis de supervivencia como técnica estadística para investigar cuándo es probable que una entidad financiera cambie de estado.
MARÍA ALEJANDRA AYALA +2 more
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Journal of Statistical Software, 2012 In many medical studies, patients can experience several events. The times between consecutive events (gap times) are often of interest and lead to problems that have received much attention recently.
Ana Moreira, Luis Meira-Machado
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Revista Colombiana de Estadística, 2007 In this work, survival analysis is used as a statistical technique to find out when any bank probably changes of state. The random variable to study is the observed time period of the lifetime where there is a change of state. Special interest is focused
Ayala María Alejandra +2 more
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