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Joint modelling of event counts and survival times
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UNSPECIFIED (2006) Joint modelling of event counts and survival times. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 55 (Part 1). pp. 31-39. ISSN 0035-9254.
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Abstract
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.
Item Type: | Journal Article | ||||
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Subjects: | Q Science > QA Mathematics | ||||
Journal or Publication Title: | JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS | ||||
Publisher: | BLACKWELL PUBLISHING | ||||
ISSN: | 0035-9254 | ||||
Official Date: | 2006 | ||||
Dates: |
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Volume: | 55 | ||||
Number: | Part 1 | ||||
Number of Pages: | 9 | ||||
Page Range: | pp. 31-39 | ||||
Publication Status: | Published |
Data sourced from Thomson Reuters' Web of Knowledge
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