Bayesian Expectile Joint Model With Varying Coefficient for Longitudinal and Semi‐Competing Risks Data
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DOI: 10.1002/sim.70219
Abstract: In the realm of clinical medical research, semi‐competing risks data are usually observed in practice, yet there are few studies on the joint models of longitudinal and semi‐competing risks data. In this paper, a joint… read more here.
Keywords: joint model; competing risks; risks data; model ... See more keywords
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
Assessing importance of biomarkers: A Bayesian joint modelling approach of longitudinal and survival data with semi-competing risks
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DOI: 10.1177/1471082x20933363
Abstract: Longitudinal biomarkers such as patient-reported outcomes (PROs) and quality of life (QOL) are routinely collected in cancer clinical trials or other studies. Joint modelling of PRO/QOL and survival data can provide a comparative assessment of… read more here.
Keywords: competing risks; longitudinal survival; semi competing; joint modelling ... See more keywords