Nonparametric estimation of the cumulative intensities in an interval censored competing risks model

DOI10.1007/s10985-012-9232-6zbMath1322.62119OpenAlexW2090337252WikidataQ87424860 ScholiaQ87424860MaRDI QIDQ746411

Jun Liu, Halina Frydman

Publication date: 16 October 2015

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10985-012-9232-6

zbMATH Keywords

competing risksinterval-censored datacumulative intensitiesmixed case interval censoring mechanismnonparametric maximum likelihood estimation

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Censored data models (62N01)

Related Items (5)

Cause-specific hazard regression for competing risks data under interval censoring and left truncation ⋮ Analysis of interval censored competing risk data with missing causes of failure using pseudo values approach ⋮ Analysis of interval censored failure time data with competing risk ⋮ A flexible Bayesian non-parametric approach for fitting the odds to case II interval-censored data ⋮ Nonparametric estimation in an “illness-death” model when all transition times are interval censored

Cites Work

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• Bootstrap methods: another look at the jackknife
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• A Semiparametric Model for Regression Analysis of Interval-Censored Failure Time Data
• Local EM Estimation of the Hazard Function for Interval‐Censored Data
• Consistency of the GMLE with Mixed Case Interval‐Censored Data
• A penalized likelihood approach for an illness-death model with interval-censored data: application to age-specific incidence of dementia

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