Survival analysis for the missing censoring indicator model using kernel density estimation techniques

DOI10.1016/j.stamet.2005.09.014zbMath1248.62179OpenAlexW2006979106WikidataQ36947181 ScholiaQ36947181MaRDI QIDQ713694

Sundarraman Subramanian

Publication date: 19 October 2012

Published in: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc2572220

zbMATH Keywords

functional delta methodindependent incrementsstandard Wiener processbandwidth sequenceLyapounov central limit theorem

Mathematics Subject Classification ID

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 (20)

Censored gamma regression with uncertain censoring status ⋮ The multiple imputations based Kaplan-Meier estimator ⋮ A SURVIVAL ANALYSIS INCORPORATING AUXILIARY INFORMATION BY A BAYESIAN GENERALIZED METHOD OF MOMENTS: APPLICATION TO PURCHASE DURATION MODELING ⋮ Statistical inference for right-censored data with nonignorable missing censoring indicators ⋮ Multiple imputations and the missing censoring indicator model ⋮ Nonparametric estimation for survival data with censoring indicators missing at random ⋮ Copula-graphic estimators for the marginal survival function with censoring indicators missing at random ⋮ Hazard function estimation with cause-of-death data missing at random ⋮ Censored count data regression with missing censoring information ⋮ Presmoothed estimation of the density function with truncated and censored data ⋮ Semiparametric left truncation and right censorship models with missing censoring indicators ⋮ The missing censoring indicator model and the smoothed bootstrap ⋮ Doubly robust semiparametric estimation for the missing censoring indicator model ⋮ Additive hazards regression with censoring indicators missing at random ⋮ A kernel-assisted imputation estimating method for the additive hazards model with missing censoring indicator ⋮ Hazard function estimation from homogeneous right censored data with missing censoring indicators ⋮ CLT for integrated square error of density estimators with censoring indicators missing at random ⋮ Probability density estimation for survival data with censoring indicators missing at random ⋮ Linear regression analysis of survival data with missing censoring indicators ⋮ Presmoothed Estimation with Left-Truncated and Right-Censored Data

Cites Work

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• Functional laws of the iterated logarithm for the product-limit estimator of a distribution function under random censorship or truncation
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• A law of the logarithm for kernel density estimators
• Estimating a survival function with incomplete cause-of-death data
• On semiparametric random censorship models
• On the rate of uniform convergence of the product-limit estimator: Strong and weak laws
• Efficient estimation from right-censored data when failure indicators are missing at random
• A large sample study of the life table and product limit estimates under random censorship
• A survey of product-integration with a view toward application in survival analysis
• Nonparametric Estimation from Incomplete Observations
• Strong approximations of some biometric estimates under random censorship
• The rate of strong uniform consistency for the product-limit estimator
• Inference and missing data
• Bootstrap Selection of the Smoothing Parameter in Nonparametric Hazard Rate Estimation
• Product‐limit Estimators and Cox Regression with Missing Censoring Information
• Presmoothed kernel density estimator for censored data
• Asymptotically efficient estimation of a survival function in the missing censoring indicator model
• Statistical models based on counting processes

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