Nonparametric estimation of current status data with dependent censoring

DOI10.1007/s10985-012-9223-7zbMath1322.62255OpenAlexW1968450882WikidataQ34317768 ScholiaQ34317768MaRDI QIDQ746158

Chunjie Wang, Jie Zhou, Jianguo Sun, De-Hui Wang, Liu-Quan Sun

Publication date: 15 October 2015

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

Full work available at URL: http://europepmc.org/articles/pmc4538943

zbMATH Keywords

dependent censoringnonparametric estimationcurrent status datacopula models

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Censored data models (62N01) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Related Items (7)

Regression analysis of informative current status data with the semiparametric linear transformation model ⋮ Regression analysis of dependent current status data with the accelerated failure time model ⋮ Sharp minimax distribution estimation for current status censoring with or without missing ⋮ A pool-adjacent-violators type algorithm for non-parametric estimation of current status data with dependent censoring ⋮ Survival function estimation of current status data with dependent censoring ⋮ Kernel machines for current status data ⋮ Regression analysis of informative current status data with the additive hazards model

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• Estimates of marginal survival for dependent competing risks based on an assumed copula

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