Bayesian hierarchical joint modeling of repeatedly measured continuous and ordinal markers of disease severity: Application to Ugandan diabetes data.
Sign Up to like & getrecommendations! Published in 2017 at "Statistics in medicine"
DOI: 10.1002/sim.7444
Abstract: Modeling of correlated biomarkers jointly has been shown to improve the efficiency of parameter estimates, leading to better clinical decisions. In this paper, we employ a joint modeling approach to a unique diabetes dataset, where… read more here.
Keywords: hierarchical joint; disease severity; bayesian hierarchical; joint modeling ... See more keywords
Profiling Television Watching Behavior Using Bayesian Hierarchical Joint Models for Time-to-Event and Count Data
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DOI: 10.1109/access.2022.3215682
Abstract: Customer churn prediction is a valuable task in many industries. In telecommunications it presents great challenges, given the high dimensionality of the data, and how difficult it is to identify underlying frustration signatures, which may… read more here.
Keywords: hierarchical joint; methodology; customer; bayesian hierarchical ... See more keywords