Development of novel multiple comparison method and decision tree method using resampling techniques and its applications to medical and pharmaceutical data.

使用重采样技术开发新型多重比较方法和决策树方法及其在医学和制药数据中的应用。

• 批准号: 15590042
• 负责人: TAKAGI Tatsuya
• 金额: $ 1.15万
• 依托单位: Osaka University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2003
• 资助国家: 日本
• 起止时间: 2003 至 2004
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-15590042/
• 关键词: Resampling method; Multiple Comparison; Bonferroni method; Computer intensive method; Bootstrap method; Pharmaceutical metric science; Pharmaceutical Information science

Last fiscal year, we developed novel more applicable algorithm of statistical multiple comparison, and the power of test of our method was revealed to be equal to or better than the traditional less applicable methods, such as Dunnett's test and Tukey's test. The results of our study were published in the Journal of Computer Aided Chemistry(vol.4, pp.27-34 (2003)). In this year, we tried to apply a resampling method for obtaining the significance of predictable variables used in decision trees, and this approach was succeeded. The main achievements in this year are as described below.1) A resampling technique, which is similar to bootstrap method, was adopted for the decision tree method in order to find significant predictable variables (attributes) : it was impossibly difficult to find the significance of attributes in the case of decision tree methods. Our technique is not only able to find such significance but also visualize the level of significance using some 3D graphs. This met … More hod was applied to the prediction of the prognosis of brain tumor patients and satisfied results were obtained. A part of our results was reported at the symposium at the Symposia of the 124th Annual Meeting of the Pharmaceutical Society of Japan (Osaka) organized by the head investigator (Tatsuya TAKAGI) of this research project and Kozo TAKAYAMA, and at the Conference of Chemometrics and Bioinformatics in Asia 2004 (Shanghai) by the head investigator (TAKAGI) of this research project as an invited speaker. After the conference, this report was published in the Journal of Computer Aided Chemistry (vol.5, pp.35-46 (2004)).2) Based on the results of the studies in the last fiscal year, we tried to write fast and parallel software of our novel multiple comparison method using resampling method and publish on WWW pages by CGI. This software was already published on the WWW page, http : //www.gen-info.osaka-u.ac.jp/testdocs/tomocom/, with the manual of this software, http : //www.gen-info.osaka-u.ac.jp/testdocs/tomocom/tazyu.html, and the simple explanation of our algorithm, http : //www.phs.osaka-u.ac.jp /homepage/b015/research1.html. This software has been being used frequently. Less

上一财年，我们开发了新的更适用的统计多重比较算法，我们的方法的检验能力被证明等于或优于传统的不太适用的方法，例如邓尼特检验和图基检验。该研究发表在《计算机辅助化学杂志》（第4卷，第27-34页（2003））上。今年，我们尝试应用重采样方法来获取决策树中使用的可预测变量的显着性。今年的主要成果如下：1）决策树方法采用了类似于bootstrap方法的重采样技术，以找到显着的可预测变量（属性）：这是不可能的困难。在决策树方法的情况下找到属性的重要性我们的技术不仅能够找到这种重要性，而且还可以使用一些 3D 图表来可视化重要性水平，这被应用于预测。脑肿瘤患者并在本研究项目的首席研究员（Tatsuya TAKAGI）和 Kozo TAKAYAMA 组织的第 124 届日本药学会年会（大阪）研讨会上报告了我们的部分结果，并在2004年亚洲化学计量学与生物信息学会议（上海）上由该研究项目的首席研究员（TAKAGI）作为特邀演讲嘉宾。该报告发表在《计算机辅助化学杂志》（第 5 卷，第 35-46 页（2004））上。2）根据上一财年的研究结果，我们尝试编写快速并行的软件我们新颖的多重比较方法使用重采样方法并通过 CGI 发布在 WWW 页面上。该软件已发布在 WWW 页面上，http://www.gen-info.osaka-u.ac.jp/testdocs/tomocom/，其中该软件的手册，http://www.gen-info.osaka-u.ac.jp/testdocs/tomocom/tazyu.html，以及我们算法的简单说明，http://www.phs.osaka- u.ac.jp /homepage/b015/research1.html 该软件使用频率较低。

项目成果

統計解析の基礎 検定・推定・多重比較(実験データの解釈のために)

统计分析基础：测试、估计、多重比较（用于解释实验数据）

• 发表时间: 2004
• 期刊: CICSJ Bulletin 22(1)
• 作者: Tatsuya TAKAGI;et al.;高木 達也
• 通讯作者: 高木 達也

A New Procedure of Validation for Binary Tree Models using Resampling Technique

使用重采样技术验证二叉树模型的新程序

• 发表时间: 2004
• 期刊: Journal of Computer Aided Chemistry Vol.5
• 作者: Tatsuya TAKAGI;Kousuke OKAMOTO;Masahiko YOKOTA Teruo YASUNAGA
• 通讯作者: Masahiko YOKOTA Teruo YASUNAGA

多重比較入門

多重比较简介

• 发表时间: 2005
• 期刊: CICSJ Bulletin 23(1)
• 作者: 高木 達也

Introduction of Multiple Comparison Method

多重比较法介绍

• 发表时间: 2005
• 期刊: CICSJ Bull. vol.23(1)
• 作者: 高木 達也;Tatsuya TAKAGI
• 通讯作者: Tatsuya TAKAGI

Basis of Statistical Science : test of significance, interval estimation, and multiple comparison (for experimental data analyses)

统计科学基础：显着性检验、区间估计和多重比较（用于实验数据分析）

• 发表时间: 2004
• 期刊: CICSJ Bull. vol.22(1)
• 作者: Tatsuya TAKAGI;Kousuke OKAMOTO;Masahiko YOKOTA Teruo YASUNAGA;Tatsuya TAKAGI
• 通讯作者: Tatsuya TAKAGI