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After transmission of recurrent data burst, the multicast sender prepares multicast packets for the next burst transmission, including both new packets and packets not acknowledged previously by all ACK-leaders and which life time is not expired.
We do not report these results because our interest is focused in recurrent data.
For comparison of recurrent data in the same individuals between variables at baseline (T0) and those collected at follow-up (T5), paired t-tests and McNemar's test for binary data were used.
Starting perhaps with a foundational paper by Anderson and Gill, [ 7], the literature for recurrent data includes the marginal model [ 8], total time and gap-time models [ 9, 10], random effects/frailty models [ 11], and a counting process approach [ 12].
A recurrent data pattern, however, demonstrating a positive relation between supplement intake and respectively nutritional status and EORTC QLQ function scores, as well as an inverse relation between supplement intake and EORTC symptom scores was observed irrespective of the study group (data not shown).
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The results indicate that the flexibility of this general class of models provides a safeguard for analyzing recurrent event data, even data possibly arising from a frailty-less mechanism.
Recurrent event data are multivariate failure time data where the individuals experience repeated occurrences of the same type of event.
Various survival models used for analysis of recurrent event data and that handle clustered and multiple event data have been proposed.
This may be due to a lack of information on how to simulate recurrent event data using a total time scale as opposed to published simulation algorithms for gap time [ 3, 4] and other multivariate [ 17, 18] or univariate [ 19] failure time data.
Metcalfe and Thompson [ 21] reviewed and evaluated the semi-parametric model method in the analysis of recurrent event data and concluded that the application of this method to recurrent event data is justified.
Data on repeated hospitalizations over time are often referred to in the statistical literature as recurrent event data.
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