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Bayesian two-stage modeling of longitudinal and time-to-event data with an integrated fractional Brownian motion covariance structure.

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第一作者： Anushka,Palipana

第一单位： Duke University School of Nursing, Durham, NC 27710, United States.

作者： Anushka,Palipana ^[1] ; Seongho,Song ^[2] ; Nishant,Gupta ^[3] ; Rhonda,Szczesniak ^[4]

作者单位： Duke University School of Nursing, Durham, NC 27710, United States. ^[1] Department of Mathematical Sciences, University of Cincinnati, Cincinnati, OH 45221, United States. ^[2] Division of Pulmonary Critical Care and Sleep Medicine, University of Cincinnati, Cincinnati, OH 45221, United States.;Medical Service, Veterans Affairs Medical Center, Cincinnati, OH 45220, United States. ^[3] Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, United States.;Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, United States.;Department of Pediatrics, University of Cincinnati, Cincinnati, OH 45221, United States. ^[4]

关键词 Bayesian modeling longitudinal data analysis, medical monitoring, patient registries, rare lung disease, real-time prediction, target function

医学主题词人类(Humans);女(雌)性(Female);贝叶斯定理(Bayes Theorem);壬苯醇醚(Nonoxynol);概率(Probability);疾病恶化(Disease Progression)

DOI 10.1093/biomtc/ujae011

PMID 38483283

发布时间 2025-03-15

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