A parametric model fitting time to first event for overdispersed data: application to time to relaps...
A parametric model fitting time to first event for overdispersed data: application to time to relapse in multiple sclerosis
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Publisher
Boston: Springer US
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English
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Boston: Springer US
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In this article, we propose a parametric model for the distribution of time to first event when events are overdispersed and can be properly fitted by a Negative Binomial distribution. This is a very common situation in medical statistics, when the occurrence of events is summarized as a count for each patient and the simple Poisson model is not ad...
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Full title
A parametric model fitting time to first event for overdispersed data: application to time to relapse in multiple sclerosis
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TN_cdi_proquest_miscellaneous_928910173
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_928910173
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ISSN
1380-7870
E-ISSN
1572-9249
DOI
10.1007/s10985-011-9207-z
