Additive transformation models for clustered failure time data

DOI10.1007/s10985-009-9145-1zbMath1322.62293OpenAlexW2062489022WikidataQ33518622 ScholiaQ33518622MaRDI QIDQ746061

Jianwen Cai, Donglin Zeng

Publication date: 15 October 2015

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

Full work available at URL: http://europepmc.org/articles/pmc2919578

zbMATH Keywords

robustnesstransformationgoodness-of-fitestimating equationadditive model

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Estimation in survival analysis and censored data (62N02) Testing in survival analysis and censored data (62N03) Reliability and life testing (62N05)

Related Items (9)

Semiparametric regression of clustered current status data ⋮ Regression analysis of clustered failure time data with informative cluster size under the additive transformation models ⋮ A class of additive transformation models for recurrent gap times ⋮ Regression analysis of multivariate current status data under a varying coefficients additive hazards frailty model ⋮ Additive hazard regression for the analysis of clustered survival data from case-cohort studies ⋮ An overview of semiparametric models in survival analysis ⋮ Semiparametric methods for center effect measures based on the ratio of survival functions ⋮ Additive Transformation Models for Multivariate Interval-Censored Data ⋮ Additive Transformation Models for Clustered Doubly Censored Data

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