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Because patients with resistant in-stent restenosis tend to have multiple recurrent events, coronary artery bypass grafting should be also considered after multiple failures of percutaneous coronary intervention.
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PFS was summarised by cumulative incidence curves and compared in each treatment group using multiple recurrent event Cox regression models.
Recombination rate might be expected to correlate with phylogeny size because recombination events will be misinterpreted as multiple recurrent mutation events and the imperfection statistic should therefore tend to be large where recombination has been frequent.
Northcott PA, Nakahara Y, Wu X, Feuk L, Ellison DW, Croul S, et al. Multiple recurrent genetic events converge on control of histone lysine methylation in medulloblastoma.
The prespecified analysis of multiple recurrent ischemic events (all components of the primary end point) suggested a lower risk for prasugrel among patients under the age of 75 years (hazard ratio, 0.85; 95% CI, 0.72 to 1.00; P=0.04).
However, 10 subjects in both groups experienced significant instability when including multiple recurrent subluxation events.
Our findings also suggest that among the two additional considerations – multiple event-types and recurrent events – the argument for including the recurrent component in the model is stronger.
This study also demonstrates that in long term studies such as the CHS, multiple event types and recurrent events are not rare at all.
One naïve way to include both multiple event types and recurrent events is to treat individual events, regardless of event-type and first or recurrent status, as statistically independent.
The difference is substantial especially for factors such as having diabetes; the hazard ratio when considering both multiple event-types and recurrent events is 36% higher when only considering time-to-first-event.
For the following risk factors, taking both multiple event-types and recurrent events into account (Model 4) produces noticeably higher hazard ratios than when using the time-to-first-event model (Model 1).
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