A Kernel Smooth Approach for Joint Modeling of Accelerated Failure Time and Longitudinal Data

DOI10.1080/03610918.2013.809099zbMath1383.62125OpenAlexW2069124925MaRDI QIDQ3178529

Yi-Kuan Tseng, Ya-Fang Yang

Publication date: 14 July 2016

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2013.809099

zbMATH Keywords

EM algorithmAFT modeljoint modelhazard smoothing

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Censored data models (62N01) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Related Items (1)

Joint model of accelerated failure time and mechanistic nonlinear model for censored covariates, with application in HIV/AIDS

Cites Work

• Semiparametric inference for the accelerated life model with time- dependent covariates
• Modeling Longitudinal Data with Nonparametric Multiplicative Random Effects Jointly with Survival Data
• Joint modelling of accelerated failure time and longitudinal data
• Shared parameter models under random effects misspecification
• Efficient Estimation for the Accelerated Failure Time Model
• A Joint Model for Survival and Longitudinal Data Measured with Error
• Jointly Modeling Longitudinal and Event Time Data With Application to Acquired Immunodeficiency Syndrome
• Improving Sheather and Jones’ bandwidth selector for difficult densities in kernel density estimation
• Joint Modeling of Survival and Longitudinal Data: Likelihood Approach Revisited
• Joint modelling of longitudinal measurements and event time data
• A Flexible B‐Spline Model for Multiple Longitudinal Biomarkers and Survival

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