Joint modelling of event counts and survival times |
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Authors: | B. J. Cowling J. L. Hutton J. E. H. Shaw |
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Affiliation: | University of Hong Kong, Pokfulam, People's Republic of China; University of Warwick, Coventry, UK |
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Abstract: | Summary. In studies of recurrent events, such as epileptic seizures, there can be a large amount of information about a cohort over a period of time, but current methods for these data are often unable to utilize all of the available information. The paper considers data which include post-treatment survival times for individuals experiencing recurring events, as well as a measure of the base-line event rate, in the form of a pre-randomization event count. Standard survival analysis may treat this pre-randomization count as a covariate, but the paper proposes a parametric joint model based on an underlying Poisson process, which will give a more precise estimate of the treatment effect. |
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Keywords: | Censored point process Epilepsy Event rate Recurrent event Survival analysis |
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