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

• 批准号: 17300091
• 负责人: YANAGAWA Takashi
• 金额: $ 8.27万
• 依托单位: Kurume University
• 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: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-17300091/
• 关键词: survival analysis; time dependent covariate; Spline function; functional analysis of variance; information criterion; repeated measurement; cohort study; stroke; 関数分散分析; くり返し測定; セミパラメトリック法; 長期間追跡調査

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回归分析中进行的比例危害假设的情况，（ii）协变量取决于时间以及生存时间和预后因素之间的关系是非线性的，我们开发了一种基于以下思想的生存数据分析的灵活方法； （a）采用一阶样条回归函数来建模生存时间和预后因素的关系，（b）引入张量产品来考虑预后因素的相互作用，C引入了新的算法，以选择有意义的交互项和结。在开发中出现的那些理论问题受到调查员的领导，在调查员的领导下攻击。结果发表在下面列出的论文中。2。我们为新方法开发了一项计算机程序，并将其应用于Hisayama队列研究的数据，以探索中风与Covari之间的关系……更多。结果表明，除了已知的危险因素外，还检测到与生存时间非线性关系的中风的危险因素。还评估了他们对中风的风险。在几次国际会议上介绍了证明该方法有用的论文，并提交了一篇论文出版，接受并在医学统计数据中发表。3。以上方法用于生存数据。但这对于研究反应变量和非生存数据中的协变量的非线性关系也很有用。为了证明这一方法，该方法应用于男性初中学生的DADA，以阐明视力降低与其促成因素在内的线性和非线性关系，包括生活习惯和环境。总结结果的论文已在期刊上提交出版。4。一年中举行了至少一次国际会议，以宣传我们获得的结果，并对世界主要科学家对我们的研究进行了批判性审查。较少的

项目成果

Two by two tables in negative ninomial sampling

负二项抽样中的二乘二表

• 发表时间: 2006
• 作者: Yanagawa;T.
• 通讯作者: T.

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

• 发表时间: 2008
• 期刊: Journal of Statistical Planning and Inference Vol.138
• 作者: Adachi;I.;Kuwahata;H.;Fujita;K.;Tomonaga;M.;Matsuzawa;T.;Tetsuji Ohyama
• 通讯作者: Tetsuji Ohyama

Using logistic models for assessing and managing risks of environmental contaminants

使用逻辑模型评估和管理环境污染物的风险

• 发表时间: 2005
• 作者: Yanagawa;T.
• 通讯作者: T.

Human glutathione S-transferase A1 polymorphism and susceptibility to oral squamous cell carcinoma in Japanese

日本人谷胱甘肽S-转移酶A1多态性与口腔鳞状细胞癌易感性

• 发表时间: 2005
• 期刊: Environmental Health and Preventive Medicine 10
• 作者: Yasuhiro Komiya;Yoshiki Kuroda;Hiroyuki Nakao;Katsuyuki Arizono;Ai Nakahara;Takahiko Katoh
• 通讯作者: Takahiko Katoh

Inference for the varying coefficient proportional rate model

变系数比例率模型的推论

• 发表时间: 2005
• 期刊: Japanese Journal of Biometrics Vol.26
• 作者: Hattori;S.
• 通讯作者: S.