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Joint modelling of event counts and survival times

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Rogers, Jennifer Kaye, Hutton, Jane (Statistician) and Hemming, Karla (2009) Joint modelling of event counts and survival times. Working Paper. Coventry: University of Warwick. Centre for Research in Statistical Methodology. Working papers, Vol.2009 (No.44).

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Official URL: http://www2.warwick.ac.uk/fac/sci/statistics/crism...

Abstract

We consider the analysis of data from the MRC Multicentre Trial for Early Epilepsy and
Single Seizures (MESS), which was undertaken to assess the differences between two policies: immediate, or deferred treatment in patients with single seizures or early epilepsy.
In studies of recurrent events, like epileptic seizures, there is typically lots of information
about individuals' seizure patterns over a period of time, which is often not fully utilised
in analysis. We develop methodology that allows pre-randomisation seizure counts and
multiple post-randomisation survival times to be jointly modelled, assuming that both
these outcomes are predicted by (unobserved) seizure rates. The joint model was found to
be superior to standard survival methods, although interesting characteristics within the
data, not present in the model were also highlighted. We consider modifications to the
joint model to accommodate these properties.

Item Type:

Working or Discussion Paper (Working Paper)

Subjects:

Q Science > QA Mathematics

Divisions:

Faculty of Science > Statistics

Library of Congress Subject Headings (LCSH):

Epilepsy -- Treatment -- Mathematical models, Survival analysis (Biometry)

Series Name:

Working papers

Publisher:

University of Warwick. Centre for Research in Statistical Methodology

Place of Publication:

Coventry

Official Date:

2009

Dates:

Date	Event
2009	Published

Volume:

Vol.2009

Number:

No.44

Number of Pages:

Status:

Not Peer Reviewed

Publication Status:

Published

Access rights to Published version:

Open Access

References:

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