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Joint longitudinal and time-to-event models: development, implementation and applications in health research

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thesis
posted on 19.03.2019 by SAMUEL LOUIS GEORGE BRILLEMAN
It is common in epidemiology and clinical research to take repeat measurements of a marker (for example blood pressure) while observing the time course to an event (for example heart attack). This thesis focuses on novel statistical models for joint analysis of these two sources of information on a person's health. The research contributes to the uptake of these models in three ways. First, by extending the underlying methodology. Second, through the development of new software for fitting the models. Third, by demonstrating how the models can be used to answer important health research questions in separate studies of weight trajectories in patients with end stage kidney disease and impacts of natural disasters on multiple health conditions.

History

Principal supervisor

Rory Wolfe

Additional supervisor 1

Margarita Moreno-Betancur

Additional supervisor 2

Michael Crowther

Year of Award

2018

Department, School or Centre

Public Health and Preventive Medicine

Campus location

Australia

Course

Doctor of Philosophy

Degree Type

DOCTORATE

Faculty

Faculty of Medicine Nursing and Health Sciences

Exports

Exports