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ID 34963
本文ファイル
著者
Dokhi, Mohammad
キーワード
Neuroblastoma
Weibull-distribution
Gamma-distribution
Maximum-likelihood
Information-matrix
NDC
医学
抄録(英)
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.
掲載誌名
Hiroshima Journal of Medical Sciences
58巻
1号
開始ページ
25
終了ページ
35
出版年月日
2009-03
出版者
Hiroshima University Medical Press
ISSN
0018-2052
NCID
言語
英語
NII資源タイプ
紀要論文
広大資料タイプ
学内刊行物(紀要等)
DCMIタイプ
text
フォーマット
application/pdf
著者版フラグ
publisher
権利情報
(c) Hiroshima University Medical Press.
部局名
医歯薬学総合研究科
原爆放射線医科学研究所
自然科学研究支援開発センター
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