Development and application of semi-parametric survival analysis for time dependent non-linear prognostic factors
时间依赖性非线性预后因素半参数生存分析的开发和应用
基本信息
- 批准号:17300091
- 负责人:
- 金额:$ 8.27万
- 依托单位:
- 依托单位国家:日本
- 项目类别:Grant-in-Aid for Scientific Research (B)
- 财政年份:2005
- 资助国家:日本
- 起止时间:2005 至 2007
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
1. Considering the situation that (i) the proportional hazard assumption employed in the Cox regression analysis does not hold, (ii) Covariates depend on time and the relationship between survival time and prognostic factors are non-linear, we developed a flexible method of the analysis of survival data based on the following ideas; (a) employed the first order Spline regression function for modeling the relationship of survival time and prognostic factors, (b) introduced tensor product to take into account the interaction of prognostic factors, and c introduced new algorithm for selecting to meaningful interaction terms and knots. Those theoretical problems that are arisen in the development are attacked by investigators under the leadership of the head investigator. The results are published in those papers listed below.2. We developed a computer program for the new method and applied it to the data from the Hisayama cohort study to explore the relationship between stroke and covari … More ates. It is shown that the risk factors of the stroke that had non-linear relationship with survival time are detected in addition to the known risk factors. Also their risks on the stroke are assessed. Papers demonstrating the usefulness of the method were presented at several international meetings, and a paper submitted for publication, accepted and in press in the Statistics in Medicine.3. The method above is for the survival data. But it is also useful for studying non-linear relationship of response variable and covariates in non-survival data. To demonstrate it the method was applied to the dada from male junior high school students for elucidate linear and non-linear relationships between reduced visual acuity and its contributing factors including living habits and environment. A paper summarizing the results is submitted for publication in a journal.4. At least one international conference was held in a year to publicize the results that we obtained and had critical review of our research by world leading scientists. Less
1. 考虑到(i) Cox回归分析中采用的比例风险假设不成立,(ii)协变量依赖于时间,生存时间与预后因素之间的关系是非线性的,我们基于以下思路开发了一种灵活的生存数据分析方法;(a)采用一阶样条回归函数对生存时间与预后因素之间的关系进行建模,(b)引入张量积来考虑预后因素之间的相互作用,c引入新的算法来选择有意义的相互作用项和结点。在发展过程中出现的理论问题,在首席研究员的带领下,由研究人员来攻克。研究结果发表在下面列出的论文中。我们为新方法开发了一个计算机程序,并将其应用于Hisayama队列研究的数据,以探索卒中与协方差之间的关系。结果表明,除了已知的危险因素外,还发现了与生存时间呈非线性关系的中风危险因素。他们患中风的风险也会被评估。在几次国际会议上提出了证明该方法有用的论文,并在《医学统计》上提交了一篇论文供出版、接受和出版。以上方法为生存数据。但对于研究非生存数据中响应变量与协变量的非线性关系也很有帮助。为了证明这一点,将该方法应用于男性初中生的数据,以阐明视力下降与生活习惯和环境等影响因素之间的线性和非线性关系。一篇总结结果的论文被提交到期刊上发表。每年至少举行一次国际会议,公布我们取得的成果,并得到世界一流科学家对我们研究的批评。少
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Estimating population characteristics by incorporating prior values in Stratified Random Sampling/Ranked Set Sampling
通过将先验值纳入分层随机抽样/排序集抽样来估计总体特征
- DOI:
- 发表时间:2008
- 期刊:
- 影响因子:0
- 作者:Adachi;I.;Kuwahata;H.;Fujita;K.;Tomonaga;M.;Matsuzawa;T.;Tetsuji Ohyama
- 通讯作者:Tetsuji Ohyama
Estimating Populatinn Characteristics by Incorporating Prinr Values in Stratified Randnm Sampling/Ranked Set Sampling
通过在分层随机抽样/排序集抽样中纳入基本值来估计人口特征
- DOI:
- 发表时间:2008
- 期刊:
- 影响因子:0
- 作者:Tetsuji Ohyama;Jimmy Doi and Takashi Yanagawa
- 通讯作者:Jimmy Doi and Takashi Yanagawa
A note on misspecified transformation models
关于错误指定的转换模型的说明
- DOI:
- 发表时间:2006
- 期刊:
- 影响因子:0
- 作者:Hattori;S.
- 通讯作者:S.
U pergulation of thymidine phosphorylase in rectal cancer tissues by Mitomycin C
丝裂霉素C对直肠癌组织中胸苷磷酸化酶的调节作用
- DOI:
- 发表时间:2006
- 期刊:
- 影响因子:0
- 作者:Ogata;Y.
- 通讯作者:Y.
地域一般住民における血清低比重リボ蛋白コレステロールレベルと食事性因子の関連:久山町研究
当地一般人群血清低密度核糖蛋白胆固醇水平与饮食因素之间的关系:久山镇研究
- DOI:
- 发表时间:2005
- 期刊:
- 影响因子:0
- 作者:Ninomiya;T.;森田 友美
- 通讯作者:森田 友美
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YANAGAWA Takashi其他文献
YANAGAWA Takashi的其他文献
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{{ truncateString('YANAGAWA Takashi', 18)}}的其他基金
Analysis of interaction between autocrine motility factor and molecules related to bone formation in osteosarcoma cells.
骨肉瘤细胞自分泌运动因子与骨形成相关分子相互作用的分析。
- 批准号:
20791026 - 财政年份:2008
- 资助金额:
$ 8.27万 - 项目类别:
Grant-in-Aid for Young Scientists (B)
Roles and Efficiency of Vertical Separation in Railway Industry
垂直分离在铁路行业中的作用和效率
- 批准号:
20530198 - 财政年份:2008
- 资助金额:
$ 8.27万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Development of functional ANOVA models for multi-state survival data and its applications
多状态生存数据函数方差分析模型的开发及其应用
- 批准号:
20300099 - 财政年份:2008
- 资助金额:
$ 8.27万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
Vertical Integration and Separation of Firms for Regulation and Competition
为了监管和竞争而进行的企业纵向整合和分离
- 批准号:
17530177 - 财政年份:2005
- 资助金额:
$ 8.27万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Development and Application of Graphical Modeling techniques for Assesshrg the Joint Risks of Contaminants
评估污染物联合风险的图形建模技术的开发和应用
- 批准号:
15300093 - 财政年份:2003
- 资助金额:
$ 8.27万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
Dynamic Biostatistics : Modeling, Development of Methodology and Theory
动态生物统计学:建模、方法和理论的发展
- 批准号:
13308014 - 财政年份:2001
- 资助金额:
$ 8.27万 - 项目类别:
Grant-in-Aid for Scientific Research (A)
Economic Policy of Horizontal Competition Restraint
限制同业竞争的经济政策
- 批准号:
13630060 - 财政年份:2001
- 资助金额:
$ 8.27万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Biostatistics : Development of Bacic Theory and Ist Application
生物统计学:基础理论发展与应用
- 批准号:
05302064 - 财政年份:1993
- 资助金额:
$ 8.27万 - 项目类别:
Grant-in-Aid for Co-operative Research (A)