Estimation and Tests in Finite Mixture Models for Censored Survival Data

DOI10.1080/02331889708802596zbMath0874.62024OpenAlexW1976769451MaRDI QIDQ4351768

Odile Pons, Mohamed Lemdani

Publication date: 9 November 1997

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331889708802596

zbMATH Keywords

likelihood ratio testmaximum likelihoodcensoring

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Asymptotic properties of parametric tests (62F05)

Related Items (3)

Estimation and test in long-term survival mixture models ⋮ Estimation in a model for a semi-Markov process with covariates under right-censoring ⋮ Mixture cure model methodology in survival analysis: some recent results for the one-sample case

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Nonparametric inference for a family of counting processes
• Exponential mixture models with long-term survivors and covariates
• On the asymptotics of constrained \(M\)-estimation
• Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests Under Nonstandard Conditions
• Central limit theorems for local martingales
• Estimating the proportion of immunes in a censored sample
• Asymptotic Results for Exponential Mixture Models with Long-Term Survivors
• Statistical models based on counting processes

This page was built for publication: Estimation and Tests in Finite Mixture Models for Censored Survival Data