Asymptotic properties of the GMLE in the case 1 interval-censorship model with discrete inspection times

DOI10.2307/3315721zbMath1066.62541OpenAlexW2159051755MaRDI QIDQ4243789

Qi Qing Yu, Anton Schick, Lin Xiong Li, George Y. C. Wong

Publication date: 1998

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

Full work available at URL: https://semanticscholar.org/paper/793eb6012a7992df2c11a412ab8c68cd53944077

zbMATH Keywords

consistencyasymptotic normalityefficiencyNonparametric maximum-likelihood estimation

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Related Items (9)

USING THE KERNEL METHOD FOR FUNCTIONAL ESTIMATION WITH CURRENT STATUS DATA ⋮ Nonparametric estimation for competing risks survival data subject to left truncation and interval censoring ⋮ The random partition masking model for interval-censored and masked competing risks data ⋮ Comparison of cumulative incidence functions of current status competing risks data with discrete observation times ⋮ Likelihood based inference for current status data on a grid: a boundary phenomenon and an adaptive inference procedure ⋮ Nonparametric estimators of survival function under the mixed case interval-censored model with left truncation ⋮ Estimation of a Joint Distribution Function with Multivariate Interval-Censored Data when the Nonparametric MLE is not Unique ⋮ Generalized MLE of a joint distribution function with multivariate interval-censored data ⋮ Functional estimation under interval censoring case 1

Cites Work

• A class of estimators of the survival function from interval-censored data
• An Empirical Distribution Function for Sampling with Incomplete Information
• Age-Specific Incidence and Prevalence: A Statistical Perspective
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