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- Objective To explore the application of nonlinear mixed models in ordered categorical data of cross-over trial analysis and hence provide methodology reference. 目的探讨非线性混合效应模型在交叉试验等级资料中的应用,为临床试验交叉设计资料的正确分析提供方法学参考。
- Objective:To explore the application of generalized estimating equation in ordered categorical data of cross-over trial analysis and provide methodology reference. 目的:探讨广义估计方程在交叉试验等级资料中的应用,为临床试验交叉设计资料的正确分析提供方法学参考。
- Keywords nonlinear mixed models;cross-over trial;ordered categorical data; 非线性混合效应模型;交叉设计;等级资料;
- ANALYSIS OF THE ORDERED CATEGORICAL DATA IN CROSS - OVER TRIAL USING GENERALIZED ESTIMATING EQUATION 广义估计方程在交叉设计等级资料分析中的应用
- ordered categorical data 多分类有序资料
- Applicable only when meanis defined, then what about categorical data? 不适合具有分类属性的数据?
- Categorical data in its broadest sense is simply a collection of values of discrete variable obtained from a sample of individuals of objects. 范畴数据在广义上就是一批得自于个体或对像样本的离散变量值。
- Basic to any analysis of categorical data is a consideration of how the data was collected. 任何范畴数据分析的基础在于考虑数据是怎样收集的。
- Agresti, A. "An Introduction to Categorical Data Analysis", 1996, John Wiley &Sons, Inc. 类别资料分析导论，刘应兴编译，华泰书局出版。
- Aim: To summarize the trend test analysis methods for two-way ordinal categorical data. 目的:探讨双向有序分类数据相关的趋势检验方法。
- Hierarchical linear models for categorical data are seldom applied in the field of psychological research in China. 摘要分类数据的多层线性模型在我国的心理学研究中鲜有使用。
- Next, two useful empirical Bayes models for categorical data in manufacturing are introduced. 然后我们简介可用于制程中类别资料的两个有用的经验贝氏模型。
- According to sex and age difference, making analysis with categorical data of FFA in two groups. 将两组的游离脂肪酸水平按性别、年龄分类进行分析。
- The rank learning algorithm based on the decision tree is able to process categorical data and select relative features. 基于决策树的排序学习算法，可以处理名词性数据和选择相关的特征。
- Scale of ordered categorical ratings 有序分类指标
- In the paper, first of all, a model selection technique between two empirical Bayes models for categorical data in manufacturing is proposed. 摘要:在本篇论文中，首先我们提出一个对于制程中的类别资料在两个经验贝氏模型中的模型选取技术。
- CDT(categorical data types)is an abstract machine model of the parallel computing model,it provides a new tool and approach to parallel computing. 范畴数据类型)为并行计算的研究提供了一种新的工具和方法。
- Then an empirical Bayes approach is proposed when there are available in-control categorical data generated from the manufacturing process. 然后在可以得到制程控制下所产生的某些类别资料时，提出一个经验贝氏的方法。
- In this paper,we extend the homomorphism in the categorical data type,and get theoretical basis of the almost-homomorphism in the categorical data type,i. 本文扩充了范畴数据类型中同态思想,得到了范畴数据类型中几乎同态的理论基础,同时我们通过例子说明了同态方法不能解决的并行计算问题可以用几乎同态的方法来解决。
- Abstract： CDT(categorical data types)is an abstract machine model of the parallel computing model,it provides a new tool and approach to parallel computing. 摘 要： CDT(范畴数据类型)为并行计算的研究提供了一种新的工具和方法。
