On the performance of some non-parametric estimators of the conditional survival function with interval-censored data

DOI10.1016/j.csda.2011.06.027zbMath1271.62224OpenAlexW2090468253MaRDI QIDQ1942911

Mohammad Hossein Dehghan, Thierry Duchesne

Publication date: 14 March 2013

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2011.06.027

zbMATH Keywords

Nadaraya-Watson estimatormultiple imputationkernel weightsself-consistencygeneralized Kaplan-Meier estimatorgeneralized Turnbull estimatormidpoint imputation

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Probabilistic models, generic numerical methods in probability and statistics (65C20) Estimation in survival analysis and censored data (62N02)

Related Items (4)

Consistency of the conditional hazard function with functional explanatory variable under twice censored data ⋮ Time‐dependent ROC curve estimation for interval‐censored data ⋮ Estimation procedures for grouped data – a comparative study ⋮ A self-consistent estimator of survival function with interval-censored and left-truncated data

Uses Software

• gte

Cites Work

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• A generalization of Turnbull's estimator for nonparametric estimation of the conditional survival function with interval-censored data
• Uniform consistency of the kernel conditional Kaplan-Meier estimate
• Smooth conditional distribution function and quantiles under random censorship
• The statistical analysis of interval-censored failure time data.

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