JOINT MODELS FOR NONLINEAR LONGITUDINAL AND TIME-TO-EVENT DATA USING PENALISED SPLINES

DOI10.1017/S0004972718001399zbMath1409.62200OpenAlexW2910735061WikidataQ128684074 ScholiaQ128684074MaRDI QIDQ4627585

Huong Thi Thu Pham

Publication date: 11 March 2019

Published in: Bulletin of the Australian Mathematical Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1017/s0004972718001399

zbMATH Keywords

longitudinal datasurvival datatwo-stage approachjoint modelsshared random effects approach

Mathematics Subject Classification ID

Bayesian inference (62F15) Reliability and life testing (62N05)

Cites Work

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• Partial likelihood
• Modeling the Relationship of Survival to Longitudinal Data Measured with Error. Applications to Survival and CD4 Counts in Patients with AIDS
• Statistical models based on counting processes
• Bayesian survival analysis

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