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Title: Parametric joint modelling for longitudinal and survival data
Author: Pericleous, Paraskevi
ISNI:       0000 0004 5923 2068
Awarding Body: University of East Anglia
Current Institution: University of East Anglia
Date of Award: 2016
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Joint modelling is the simultaneous modelling of longitudinal and survival data, while taking into account a possible association between them. A common approach in joint modelling studies is to assume that the repeated measurements follow a linear mixed effects model and the survival data is modelled using a Cox proportional hazards model. The Cox model, however, requires a strong proportionality assumption, which seems to be violated quite often. We, thus, propose the use of parametric survival models. Additionally, joint modelling literature mainly deals with right-censoring only and does not consider left-truncation, which can cause bias. The joint model proposed here considers left-truncation and right-censoring.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available