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  1. 広島大学の刊行物
  2. Hiroshima Journal of Medical Sciences
  3. 58巻1号

A Cure Weibull Gamma-Frailty Survival Model and Its Application to Exploring the Prognosis Factors of Neuroblastoma

https://hiroshima.repo.nii.ac.jp/records/2013613
https://hiroshima.repo.nii.ac.jp/records/2013613
6b398db8-53c7-4d90-98e1-fa1a9bcb6d32
名前 / ファイル ライセンス アクション
HiroshimaJMedSci_58_25.pdf HiroshimaJMedSci_58_25.pdf (2.4 MB)
Item type デフォルトアイテムタイプ_(フル)(1)
公開日 2023-03-18
タイトル
タイトル A Cure Weibull Gamma-Frailty Survival Model and Its Application to Exploring the Prognosis Factors of Neuroblastoma
言語 en
作成者 Dokhi, Mohammad

× Dokhi, Mohammad

en Dokhi, Mohammad

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Ohtaki, Megu

× Ohtaki, Megu

en Ohtaki, Megu

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Hiyama, Eiso

× Hiyama, Eiso

en Hiyama, Eiso

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アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
権利情報
権利情報 (c) Hiroshima University Medical Press.
主題
主題Scheme Other
主題 Neuroblastoma
主題
主題Scheme Other
主題 Weibull-distribution
主題
主題Scheme Other
主題 Gamma-distribution
主題
主題Scheme Other
主題 Maximum-likelihood
主題
主題Scheme Other
主題 Information-matrix
主題
主題Scheme NDC
主題 490
内容記述
内容記述 The log rank test and the Cox regression, or modifications thereof, emphasize the effect of covariates on survival rate parameter. In some cases, cured individuals, i.e., individuals who may not experience the event of interest may exist in the population of interest. In this situation, we may wish to examine the effect of covariates on both survival rate and cured fraction parameters. Motivated by the Japanese neuroblastoma dataset, we consider a cure model that accounted for the effect of covariates on both of the abovementioned parameters. To deal with heterogeneity that is not explained by covariates, as well as individual random heterogeneity, we perform a frailty variable. Moreover, some nested models are fitted to deal with the principle of parsimony. The effect of covariates was then evaluated by the best nested model. From a statistical point of view, we found that the model of analysis is flexible and adequate to describe the abovementioned dataset. From a medical point of view, we confirmed AGE and STAGE to be the most dominant prognosis factor of neuroblastoma. We also conclude that NMYC and FERRITIN are the other most important prognosis factors. The analysis designated that some of the prognosis factors of neuroblastoma probably just affected the median life of patients and some others are the fatal prognosis factor indicated by their effect which significance on both of survival rate and cured fraction parameters. The present model of analysis is also potentially extendable to facilitate other aspects of inferences.
言語 en
出版者
出版者 Hiroshima University Medical Press
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ departmental bulletin paper
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
収録物識別子
収録物識別子タイプ ISSN
収録物識別子 0018-2052
収録物識別子
収録物識別子タイプ NCID
収録物識別子 AA00664312
開始ページ
開始ページ 25
書誌情報 Hiroshima Journal of Medical Sciences
Hiroshima Journal of Medical Sciences

巻 58, 号 1, p. 25-35, 発行日 2009-03
旧ID 34963
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