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    政大機構典藏 > 商學院 > 統計學系 > 期刊論文 >  Item 140.119/154113


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    題名: AFFECT: an R package for accelerated functional failure time model with error-contaminated survival times and applications to gene expression data
    作者: 陳立榜
    Chen, Li-Pang;Huang, Hsiao-Ting
    貢獻者: 統計系
    關鍵詞: Boosting;Gene expression;Measurement error;Survival analysis
    日期: 2024-08
    上傳時間: 2024-10-28 11:42:47 (UTC+8)
    摘要: Survival analysis has been used to characterize the time-to-event data. In medical studies, a typical application is to analyze the survival time of specific cancers by using high-dimensional gene expressions. The main challenges include the involvement of non-informaive gene expressions and possibly nonlinear relationship between survival time and gene expressions. Moreover, due to possibly imprecise data collection or wrong record, measurement error might be ubiquitous in the survival time and its censoring status. Ignoring measurement error effects may incur biased estimator and wrong conclusion.
    關聯: BMC Bioinformatics, Vol.25, Article number: 265, pp.1-20
    資料類型: article
    DOI 連結: https://doi.org/10.1186/s12859-024-05831-5
    DOI: 10.1186/s12859-024-05831-5
    顯示於類別:[統計學系] 期刊論文

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