Studies on statistical analysis process of lifetime information

寿命信息统计分析过程研究

基本信息

批准号：
15300091
负责人：
SHIRAHATA Shingo
金额：
$ 9.22万
依托单位：
Osaka University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
2003
资助国家：
日本
起止时间：
2003 至 2005
项目状态：
已结题

项目摘要

The purpose of this project is to develop statistical tools and methods which are useful to analyze data given in the medical fields, especially, useful to analyze lifetime (survival time or failure time) data and its related fields. If we interpret the lifetime as the time certain event occurs, then we may have data with the same structure in many fields of Reliability, Education, Psychology, Test Theory, Statistical Finance and so on. Hence the methods of lifetime analysis have enormous related fields. Lifetime data is taken by observing every living thing including human beings, animals, fishes and sso on, and due to their large variety the data is widely spread and skewed. Hence it is very difficult to apply classical parametric procedures where the normality of error distribution, the linearity of the mean structure and the homogeneity of error variance are assumed. Thus our attentions are focused on nonparametric procedures, semi-parametric methods, robust statistics and statisti … More cal graphics. Most of them are computer intensive methods.Head investigator and investigators studied statistical theory, methods and applications of the above procedures. Especially, we published papers and presented at several research meetings on (1)analysis of variance method for longitudinal data, (2)robust estimator based on the notion of depth, (3)decision of Wavelet bases functions by AIC, (4)diagnosis of the homogeneity of variances by spline smoothing, (5)construction of regression models by decision trees, (6)investigation of the properties of power transformations which are proposed to get normality, linearity and homogeneity of variances, (7)estimation of the causal effects, (8)developing computer intensive methods to analyze over-dispersed categorical data, (9)applications of the above procedures.Furthermore, we had scientific meetings five times. We had many participants including data analysts of private enterprizes. And we had exciting discussion useful both for research workers and data analysts. Less

该项目的目的是开发统计工具和方法，这些工具和方法可用于分析医疗领域中给出的数据，特别是对分析终身（生存时间或失败时间）数据及其相关领域有用。如果我们将寿命解释为某些事件发生的时间，那么我们可能会在许多可靠性，教育，心理学，测试理论，统计金融等领域具有相同结构的数据。因此，终生分析的方法具有增强的相关领域。终生数据是通过观察包括人类，动物，鱼类和SSO在内的所有生物来获取的，并且由于它们的种类繁多，因此数据被广泛传播和偏斜。因此，假定误差分布的正态性，平均结构的线性和误差差异的均匀性，很难应用经典的参数过程。我们的注意力集中在非参数程序，半参数方法，强大的统计和统计学上……更多的图形。他们中的大多数是计算机密集型方法。研究人员和研究人员研究了上述过程的统计理论，方法和应用。尤其是我们发表了论文，并在几次研究会议上介绍了（1）纵向数据方差分析的分析，（2）基于深度的概念（（3）通过波动的命名，（3）波动的变化（4）诊断（4）诊断（4）诊断的变化，（4）诊断（4）。（5）通过决策树来构建回归模型，（6）对功率转化的特性进行调查，这些功能转化的特性旨在获得差异的正态性，线性和同质性，（7）因果效应的估计，（8）开发计算机密集的方法来分析过度分类数据的分类数据，（9）上述程序的应用。我们有许多参与者，包括私营企业的数据分析师。我们对研究工作者和数据分析师都有令人兴奋的讨论。较少的