A sampling approach to self-consistent estimators with arbitrary censored data

DOI10.1080/00949659608811752zbMath0925.62496OpenAlexW1994600655MaRDI QIDQ4355616

Shaolin Li, Ming Gao Gu

Publication date: 17 November 1999

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949659608811752

zbMATH Keywords

EM algorithmsurvival analysisAIDS datare-distributionself consistency

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10)

Cites Work

• Analysis of Doubly-Censored Survival Data, with Application to AIDS
• Asymptotic properties of self-consistent estimators based on doubly censored data
• A large sample study of generalized maximum likelihood estimators from incomplete data via self-consistency
• Nonparametric Estimation from Incomplete Observations
• Sampling-Based Approaches to Calculating Marginal Densities
• A Semiparametric Model for Regression Analysis of Interval-Censored Failure Time Data
• Maximum likelihood for interval censored data: Consistency and computation
• Nonparametric Estimation of a Survivorship Function with Doubly Censored Data
• Tools for statistical inference. Methods for the exploration of posterior distributions and likelihood functions.

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