Analyzing semi-competing risks data with missing cause of informative terminal event.
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DOI: 10.1002/sim.7161
Abstract: Cancer studies frequently yield multiple event times that correspond to landmarks in disease progression, including non-terminal events (i.e., cancer recurrence) and an informative terminal event (i.e., cancer-related death). Hence, we often observe semi-competing risks data.… read more here.
Keywords: informative terminal; cause; semi competing; competing risks ... See more keywords
How to analyze and interpret recurrent events data in the presence of a terminal event: An application on readmission after colorectal cancer surgery.
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DOI: 10.1002/sim.8168
Abstract: Recurrent events arise when an event occurs many times for a subject. Many models have been developed to analyze these kind of data: the Andersen-Gill's model is one of them as well as the Prentice-William… read more here.
Keywords: analyze interpret; recurrent events; terminal event; event ... See more keywords
Response-adaptive treatment allocation for clinical studies with recurrent event and terminal event data.
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DOI: 10.1002/sim.9235
Abstract: In long-term clinical studies, recurrent event data are frequently collected to contrast the efficacy of two different treatments. However, the recurrent event process can be stopped by a terminal event, such as death. For analyzing… read more here.
Keywords: clinical studies; recurrent event; treatment; terminal event ... See more keywords
Dynamic semiparametric transformation models for recurrent event data with a terminal event
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DOI: 10.1002/sim.9577
Abstract: Recurrent event data with a terminal event commonly arise in many longitudinal follow‐up studies. This article proposes a class of dynamic semiparametric transformation models for the marginal mean functions of the recurrent events with a… read more here.
Keywords: event data; data terminal; event; terminal event ... See more keywords