Subgroup-specific dose finding for phase I-II trials using Bayesian clustering.
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in medicine"
DOI: 10.1002/sim.9410
Abstract: In most models and algorithms for dose-finding clinical trials, it is assumed that the trial participants are homogeneous-the optimal dose is the same for all those who qualify for the trial. However, if there are… read more here.
Keywords: bayesian clustering; dose finding; methodology; subgroup specific ... See more keywords
Bayesian clustering of spatially distributed compositional data with application to the Great Barrier Reef
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DOI: 10.1038/s41598-024-72006-w
Abstract: The relative abundance of groups of species is often used in ecological surveys to estimate community composition, a metric that reflects patterns of commonness and rarity of biological assemblages. The focus of this paper is… read more here.
Keywords: great barrier; bayesian clustering; barrier reef; composition ... See more keywords
Kpax3: Bayesian bi‐clustering of large sequence datasets
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DOI: 10.1093/bioinformatics/bty056
Abstract: Motivation: Estimation of the hidden population structure is an important step in many genetic studies. Often the aim is also to identify which sequence locations are the most discriminative between groups of samples for a… read more here.
Keywords: kpax3 bayesian; clustering large; sequence datasets; large sequence ... See more keywords
Collaborative Online Edge Caching With Bayesian Clustering in Wireless Networks
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DOI: 10.1109/jiot.2019.2956554
Abstract: In this article, we study the edge caching problem by considering the heterogeneous context with unknown users’ preferences. The cache provider (CP) can personalize the users’ storage based on available data to maximize the overall… read more here.
Keywords: online edge; cache; edge caching; bayesian clustering ... See more keywords