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

Part of: Survival analysis and censored data Numerical approximation and computational geometry Parametric inference Statistics

Published online by Cambridge University Press:  07 January 2019

HUONG THI THU PHAM
HUONG THI THU PHAM*
Affiliation:
Department of Mathematics, An Giang University, An Giang Province, Vietnam email ptthuong@agu.edu.vn
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Abstract

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Keywords

survival datalongitudinal datatwo-stage approachshared random effects approachjoint models

MSC classification

Primary: 62-07: Data analysis
Secondary: 62N05: Reliability and life testing 62F15: Bayesian inference 65D07: Splines
Type
Abstracts of Australasian PhD Theses
Information
Bulletin of the Australian Mathematical Society , Volume 99 , Issue 2 , April 2019 , pp. 349 - 352
Copyright
© 2019 Australian Mathematical Publishing Association Inc. 

Footnotes

Thesis submitted to Flinders University in July 2017; degree approved on 6 April 2018; principal supervisor Darfiana Nur; co-supervisors Alan Branford and Murk Bottema.

References

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