Joint modelling of event counts and survival times

B. J. Cowling, J. L. Hutton and J. E. H. Shaw

Journal of the Royal Statistical Society Series C, 2006, vol. 55, issue 1, 31-39

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.

Date: 2006
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