Regression analysis of current status data in the presence of a cured subgroup and dependent censoring

DOI10.1007/s10985-016-9382-zzbMath1468.62392OpenAlexW2524284946WikidataQ31134430 ScholiaQ31134430MaRDI QIDQ1641906

Tao Hu, Jianguo Sun, Yeqian Liu

Publication date: 20 June 2018

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

Full work available at URL: https://doi.org/10.1007/s10985-016-9382-z

zbMATH Keywords

EM algorithminterval censoringBernstein polynomialcure rate model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Estimation in survival analysis and censored data (62N02)

Related Items (8)

EM algorithm for the additive risk mixture cure model with interval-censored data ⋮ Firth adjusted score function for monotone likelihood in the mixture cure fraction model ⋮ An additive hazards cure model with informative interval censoring ⋮ New methods for the additive hazards model with the informatively interval‐censored failure time data ⋮ Modified score function for monotone likelihood in the semiparametric mixture cure model ⋮ A new approach for regression analysis of multivariate current status data with informative censoring ⋮ Efficient estimation for the non-mixture cure model with current status data ⋮ Survival function estimation of current status data with dependent censoring

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