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Jingdong book

医学应用统计分析（SAS、SPSS版）

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Jingdong book

医学应用统计分析（SAS、SPSS版）

Name: 医学应用统计分析（SAS、SPSS版）
Brand: Jingdong book
SKU: 3117123221
Price: 32.45 USD
Availability: OutOfStock

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《医学应用统计分析（SAS、SPSS版）》遵循简单、实用的原则，力避复杂的数学原理和公式推导，以明确分析目的，建好统计数据库，分清变量类型为基础，以分析变量与变量之间关系为主线阐述统计学的分析方法。
《医学应用统计分析（SAS、SPSS版）》编写中力求思维清晰明确、内容实用简单、操作便捷可行、安排合理有序，使之成为一本学术思想先进、实用价值较高、适用对象更加广泛的统计学教材。

Catalogue

第一章绪论
第一节统计学的几组基本概念
一、指标与变量
二、影响变量与结果变量
三、总体与样本
四、同质与变异
五、参数和统计量
六、本质差异和抽样误差
七、正态分布与偏态分布
八、频率与概率
第二节应用统计分析的实质和基本特征
第三节学好应用统计分析的方法
一、明确分析目的
二、建好分析数据库
三、分清楚变量类型
四、正确选用统计学方法
五、熟悉常用的统计分析软件

第二章变量、数据和数据库
第一节变量
一、变量的类型
二、变量的转换
第二节数据
一、数据库数据
二、频数表数据
三、数据库数据与频数表数据的转换
第三节数据库
一、数据库的结构
二、建立数据库的方法
三、不同软件数据库文件的导入导出
四、统计数据库的要求

第三章变量间关系分析的方法
第一节变量间关系分析的统计描述
一、数值变量的统计描述
二、分类变量的统计描述
第二节变量间关系分析的统计推断
一、统计推断的判断准则
二、统计推断的思维方法
三、统计推断中的两类错误
第三节变量间关系分析的基本内容
一、单一变量分析
二、双变量间关系的分析
三、多变量关系的分析

第四章单一变量的分析
第一节单一变量的统计描述
一、单一数值变量的统计描述
二、单一分类变量的统计描述
第二节单一变量的统计推断
一、单一二项分类变量的分析
二、单一多项无序分类变量的分析
三、单一多项有序分类变量的分析
四、单一数值变量的分析

第五章二项分类变量与二项分类变量关系的分析
第一节数据库数据的分析
一、分类特征不同时两个二项分类变量间关系分析
二、分类特征或性质相似时，两个二项分类变量间关系分析
第二节频数表数据的分析
一、分类特征或性质不同时，两个二项分类变量间关系分析
二、分类特征或性质相同时，两个二项分类变量间关系分析

第六章多项无序分类变量与二项分类变量关系的分析
第一节数据库数据的分析
第二节频数表数据的分析

第七章多项有序分类变量与二项分类变量关系的分析
第一节数据库数据的分析
第二节频数表数据的分析

第八章数值变量与二项分类变量关系的分析
第一节数据库数据的分析
第二节 “均数、标准差”类数据的分析

第九章二项分类变量与多项无序分类变量关系的分析
第一节数据库数据的分析
第二节频数表数据的分析

第十章多项无序分类变量与多项无序分类变量关系的分析
第一节数据库数据的分析
第二节频数表数据的分析

第十一章多项有序分类变量与多项无序分类变量关系的分析
第一节数据库数据的分析
第二节频数表数据的分析

第十二章数值变量与多项无序分类变量关系的分析
第一节数据库数据的分析
第二节 “均数、标准差”类数据的分析

第十三章二项分类变量与多项有序分类变量关系的分析
第一节数据库数据的分析
第二节频数表数据的分析

第十四章多项无序分类变量与多项有序分类变量关系的分析
第一节数据库数据的分析
第二节频数表数据的分析

第十五章多项有序分类变量与多项有序分类变量关系的分析
第一节数据库数据的分析
一、分析一变量对另一变量的预测或影响作用
二、分析两个变量间相关性
第二节频数表数据的分析
一、分析一变量对另一变量的预测或影响作用
二、分析两变量间的相关性

第十六章数值变量与多项有序分类变量关系的分析

第十七章二项分类变量与数值变量关系的分析

第十八章多项无序分类变量与数值变量关系的分析

第十九章多项有序分类变量与数值变量关系的分析

第二十章数值变量与数值变量关系的分析
第一节数值变量与数值变量的Pearson相关
第二节数值变量与数值变量的Pearson回归
第二十一章多变量间关系的分析
第一节一个数值变量与多个数值变量之间关系的分析
第二节一个数值变量与多个分类变量之间关系的分析
一、随机区组设计的方差分析
二、析因设计的方差分析
第三节一个数值变量与混合多个变量之间的关系分析
一、协方差分析
二、COX回归模型
第四节一个分类变量与混合多变量之间的关系分析

参考文献
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