Identification of longitudinal biomarkers for survival by a score test derived from a joint model of longitudinal and competing risks data

DOI10.1080/02664763.2014.909789zbMath1352.62156OpenAlexW2042645845MaRDI QIDQ2953291

Feng-shou Ko

Publication date: 4 January 2017

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2014.909789

zbMATH Keywords

EM algorithmscore testcompeting risksrepeated measurementssurrogate

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Reliability and life testing (62N05)

Related Items (2)

Statistical inference of Marshall-Olkin bivariate Weibull distribution with three shocks based on progressive interval censored data ⋮ Application of trajectories from growth curve in identification of longitudinal biomarker for the multivariate survival data

Cites Work

• A semiparametric estimator for the proportional hazards model with longitudinal covariates measured with error
• Using Frailty Models to Identify the Longitudinal Biomarkers in Survival Analysis
• A Semiparametric Likelihood Approach to Joint Modeling of Longitudinal and Time-to-Event Data
• A Joint Model for Longitudinal Measurements and Survival Data in the Presence of Multiple Failure Types
• A Joint Model for Survival and Longitudinal Data Measured with Error
• Identification and efficacy of longitudinal markers for survival

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