A class of estimators of the survival function from interval-censored data

DOI10.1214/AOS/1032894457zbMath0856.62037OpenAlexW2055002692MaRDI QIDQ1816589

Joseph C. Gardiner, Zhiming Wang

Publication date: 11 December 1996

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/aos/1032894457

zbMATH Keywords

EM algorithmsurvival functionstrong consistencycounting processnonparametric maximum likelihood estimatorfailure timeself-consistent estimatorsinterval censorship

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)

Related Items (4)

Nonparametric estimation of waiting time distributions in a Markov model based on current status data ⋮ Nonparametric estimators of survival function under the mixed case interval-censored model with left truncation ⋮ Weighted rank estimation of nonparametric transformation models with case-1 and case-2 interval-censored failure time data ⋮ Asymptotic properties of the GMLE in the case 1 interval-censorship model with discrete inspection times

Cites Work

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• Strong consistency of a nonparametric estimator of the survival function with doubly censored data
• Identifiability in interval censorship models
• Regression with interval-censored data

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