Presmoothed kernel density estimator for censored data

DOI10.1080/10485250310001622622zbMath1049.62035OpenAlexW2008596255WikidataQ61849324 ScholiaQ61849324MaRDI QIDQ4819567

Ricardo Cao, María Amalia Jácome

Publication date: 27 September 2004

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

Full work available at URL: https://doi.org/10.1080/10485250310001622622

zbMATH Keywords

survival analysisbandwidth selectionmean integrated squared errorKaplan-Meier estimator

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Related Items (15)

A comparison of presmoothing methods in the estimation of transition probabilities ⋮ Logrank-type tests with presmoothing ⋮ A presmooth estimator of unbiased distributions with length-biased data ⋮ Hazard function estimation with cause-of-death data missing at random ⋮ Presmoothing the Aalen-Johansen estimator in the illness-death model ⋮ 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 ⋮ Nonparametric estimation of the survival function for ordered multivariate failure time data: A comparative study ⋮ Presmoothing the transition probabilities in the illness-death model ⋮ Survival analysis for the missing censoring indicator model using kernel density estimation techniques ⋮ Comparison of presmoothing methods in kernel density estimation under censoring ⋮ Probability density estimation for survival data with censoring indicators missing at random ⋮ Non‐parametric Quantile Regression with Censored Data ⋮ Presmoothed Estimation with Left-Truncated and Right-Censored Data

Cites Work

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• Bootstrapping the mean integrated squared error
• Nonparametric Estimation from Incomplete Observations
• L₁-Consistency of the kernel density estimators based on randomly right censored data
• Weak and strong uniform consistency of kernel regression estimates
• On consistency of kernel density estimators for randomly censored data: Rates holding uniformly over adaptive intervals

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