Presmoothed Kaplan–Meier and Nelson–Aalen estimators

DOI10.1080/10485250410001713981zbMath1055.62107OpenAlexW2135069460WikidataQ61849318 ScholiaQ61849318MaRDI QIDQ4651089

Ignacio López-de-Ullibarri, Noël Veraverbeke, Paul Janssen, Ricardo Cao

Publication date: 21 February 2005

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485250410001713981

zbMATH Keywords

kernel smoothingbandwidth selectioncensored dataplug-in bandwidth

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Central limit and other weak theorems (60F05) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Related Items (19)

Semi-parametric survival function estimators deduced from an identifying Volterra type integral equation ⋮ A comparison of presmoothing methods in the estimation of transition probabilities ⋮ Product-type and presmoothed hazard rate estimators with censored data ⋮ Logrank-type tests with presmoothing ⋮ A presmooth estimator of unbiased distributions with length-biased data ⋮ Nonparametric analysis of competing risks data with event category missing at random ⋮ Hazard function estimation with cause-of-death data missing at random ⋮ Semi-parametric Random Censorship Models ⋮ Asymptotic-based bandwidth selection for the presmoothed density estimator with censored data ⋮ Nonparametric estimation of the conditional distribution function in a semiparametric censorship model ⋮ Presmoothed estimation of the density function with truncated and censored data ⋮ Inverse censoring weighted median regression ⋮ Presmoothing the transition probabilities in the illness-death model ⋮ Nonparametric estimation of distribution function under right random censoring based on presmoothed relative-risk function ⋮ Hazard function estimation from homogeneous right censored data with missing censoring indicators ⋮ Comparison of presmoothing methods in kernel density estimation under censoring ⋮ Probability density estimation for survival data with censoring indicators missing at random ⋮ A semiparametric estimator of the bivariate distribution function for censored gap times ⋮ Presmoothed Estimation with Left-Truncated and Right-Censored Data

Cites Work

• Maximum likelihood estimation of a survival function under the Koziol- Green proportional hazards model
• Density and hazard rate estimation for censored data via strong representation of the Kaplan-Meier estimator
• Nonparametric inference for a family of counting processes
• On semiparametric random censorship models
• Strong representations of the survival function estimator for truncated and censored data with applications
• The product-limit estimator and the bootstrap: Some asymptotic representations
• Nonparametric Estimation from Incomplete Observations
• Weak and strong uniform consistency of kernel regression estimates

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