本课程适用于医学各专业的学生以及医疗卫生工作者。 课程包括基础统计学方法及SPSS软件应用:绪论、统计描述、t检验、方差分析、卡方检验、直线回归与相关、秩和检验。通过本课程的学习,学生能掌握医学统计学的基本方法及SPSS软件的应用技能,培养统计思维能力,并在医学科研工作中能灵活地、正确地运用统计学。
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There are 7 modules in this course
本周学习重点:1.重点掌握以下基本概念:总体、样本、小概率事件、资料的类型。2.熟练掌握SPSS软件基本数据管理功能:排序、拆分、选择、计算、重新编码。
What's included
5 videos4 readings1 assignment
本周学习重点:1.重点掌握集中趋势与离散趋势指标的适用条件。 2.重点掌握率与比例在实际应用中的区别。 3.熟练掌握SPSS软件的统计描述操作。
What's included
4 videos3 readings1 assignment
本周学习重点:1.重点掌握以下基本概念:均数的抽样误差与总体均数的置信区间。 2.理解假设检验的基本原理。 3.重点掌握独立样本比较的t检验、配对设计t检验。 4.重点掌握两类错误、功效的基本概念。 5.熟练掌握t检验的SPSS软件操作及结果解释。
What's included
5 videos3 readings1 assignment
本周学习重点:1.理解方差分析的基本思想。2.重点掌握完全随机设计、随机区组设计的方差分析。3.熟练掌握方差分析的SPSS软件操作及结果解释。
What's included
5 videos4 readings1 assignment
本周学习重点:1.重点掌握以下基本概念:率的抽样误差与总体率的置信区间。 2.重点掌握独立样本、配对设计四格表资料的卡方检验。 3.熟练掌握卡方检验的SPSS软件操作及结果解释。
What's included
6 videos4 readings1 assignment
本周学习重点:1.重点掌握直线回归方程的估计、假设检验、适用条件。 2.重点掌握直线相关系数的估计、假设检验。 3.重点理解直线回归与相关的区别、联系。 4.熟练掌握直线回归与相关的SPSS软件操作及结果解释。
What's included
5 videos3 readings1 assignment
What's included
1 assignment1 peer review
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Google Cloud
National Taiwan University
Peking University
The University of Tokyo
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