Bayesian Modeling of Cancer Outcomes Using Genetic Variables Assisted by Pathological Imaging Data.

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第一作者： Yunju,Im

第一单位： Department of Biostatistics, University of Nebraska Medical Center, Omaha, Nebraska, USA.

作者： Yunju,Im ^[1] ; Rong,Li ^[2] ; Shuangge,Ma ^[2]

作者单位： Department of Biostatistics, University of Nebraska Medical Center, Omaha, Nebraska, USA. ^[1] Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut, USA. ^[2]

关键词 Bayesian estimation and selection cancer modeling genetic variables information borrowing pathological imaging data weighting

主题词人类(Humans);贝叶斯定理(Bayes Theorem);肺肿瘤(Lung Neoplasms);计算机模拟(Computer Simulation);模型, 统计学(Models, Statistical);腺癌(Adenocarcinoma);肿瘤(Neoplasms);表型(Phenotype)

DOI 10.1002/sim.10350

PMID 39840672

发布时间 2025-01-22

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Statistics in medicine

2025年44卷3-4期

e10350页

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Bayesian Modeling of Cancer Outcomes Using Genetic Variables Assisted by Pathological Imaging Data.

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Bayesian Modeling of Cancer Outcomes Using Genetic Variables Assisted by Pathological Imaging Data.

Statistics in medicine

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Statistics in medicine

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