Art

J-GLOBAL ID：202102237584909663   Reference number：21A0092546

Quasi-linear Cox proportional hazards model with cross- L 1 penalty

交差L1ペナルティを持つ準線形Cox比例ハザードモデル【JST・京大機械翻訳】

Author (2)： Omae Katsuhiro (Department of Clinical Biostatistics, Graduate School of Medicine, Kyoto University, Kyoto, Japan) ,  Eguchi Shinto (The Institute of Statistical Mathematics, Tachikawa, Japan)
Material： BMC Medical Research Methodology (Web)
Volume： 20  Issue： 1  Page： 1-12  Publication year： 2020 
JST Material Number： U7434A  ISSN： 1471-2288  Document type： Article
Article type： 原著論文  Country of issue： United Kingdom (GBR)  Language： ENGLISH (EN)

Abstract/Point： To accurately predict the resp...

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Thesaurus term： simulation ,  maximum likelihood method ,  unsupervised learning ,  linearity ,  parameter estimation ,  regularization ,  heterogeneity ,  estimator ,  linear prediction ,  *penalty
Semi thesaurus term： *比例ハザードモデル ,  事前知識 ,  *ハザードモデル ,  混合モデル ,  予測能力 , 【Automatic Indexing@JST】

Author keywords (5)： Cox’s proportional hazards model ,  Generalized average ,  Heterogeneity ,  Mixture model ,  Survival analysis

JST classification (3)： Molecular and genetic information processing  (JE15040B) ,  Gene expression  (EC02040Q) ,  Statistics  (AB08000H)

Reference (19)：

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• J Am Stat Assoc; Modeling heterogeneity in healthcare utilization using massive medical claims data; RP Hilton, Y Zheng, N Serban; 113; 521; 2018; 111-21; 10.1080/01621459.2017.1330203; citation_id=CR2
• Scand J Stat; Maximum likelihood estimation in a semiparametric logistic/proportional-hazards mixture model; HB Fang, G Li, J Sun; 32; 1; 2005; 59-75; 10.1111/j.1467-9469.2005.00415.x; citation_id=CR3
• Omae K, Komori O, Eguchi S. Quasi-linear score for capturing heterogeneous structure in biomarkers. BMC Bioinformatics. 2017; 18(1). https://doi.org/10.1186/s12859-017-1721-x.
• Am Stat; A tutorial on mm algorithms; DR Hunter, K Lange; 58; 1; 2004; 30-7; 10.1198/0003130042836; citation_id=CR5

Terms in the title (5)： 交差 ,  L1 ,  ペナルティ ,  線形 ,  Cox比例ハザードモデル