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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/hypothesis-testing-public-health
课程评论：没有评论
课程名称：公共卫生中的假设检验 课程概述：生物统计学是每位公共卫生研究者必备的重要技能，因为它提供了一套精确的方法来从数据中提取有意义的结论。在公共卫生生物统计学专修的第二门课程中，学员将学习评估样本的变异性以及应用统计假设检验方法。在这个过程中，您将进行计算并解读来自已发布科学文献的真实数据。课程主题包括样本统计、中心极限定理、置信区间、假设检验和P值。 课程大纲： 1. **抽样分布与标准误差** 在模块一中，您将学习样本统计、抽样分布和中心极限定理。您将有机会通过练习测验来测试自己的知识，然后将所学应用于评分测验中。 2. **单一人口参数的置信区间** 模块二在前一模块的基础上，讨论置信区间、样本量的重要性以及如何应对样本量限制。练习测验有助于您为评分测验做准备。 3. **人口比较指标的置信区间** 在模块三中，将详细讨论置信区间和比率。除了讲座，您还将完成练习测验和评分测验。 4. **两组假设检验：一般概念与均值比较** 在模块四中，您将查看统计假设检验、置信区间和P值。将有一个练习测验帮助您为评分测验做好准备。 5. **假设检验（比较两个群体的比例和发病率）和扩展假设检验** 此模块将深入探讨相关的假设检验技术。 6. **项目** 在这一模块中，您将有机会通过置身于生物统计顾问的角色来展示您所学的知识，参与两个不同研究的案例，一项是关于哮喘药物，另一项是关于可注射避孕药物的自我管理。两个研究团队请求您帮助他们解释先前发布的结果，以指导他们自己研究的规划。如果您已经参加过总结与测量课程，则这个情境将会很熟悉。 此课程将通过理论与实际相结合的方式，帮助您掌握公共卫生研究中的统计假设检验技能。
Name:Sampling Distributions and Standard Errors
Description:Within module one, you will learn about sample statistics, sampling distribution, and the central limit theorem. You will have the opportunity to test your knowledge with a practice quiz and, then, apply what you learned to the graded quiz.
Name:Confidence Intervals for Single Population Parameters
Description:Module two builds upon previous materials to discuss confidence intervals, the need for ample sizes of data, and ways to get around the need for ample sizes of data. The practice quiz helps you prepare for the graded quiz.
Name:Confidence Intervals for Population Comparison Measures
Description:Within module three, confidence intervals are discussed at length and ratios are discussed again. Aside from the lectures, you will also be completing a practice quiz and graded quiz.
Name:Two-Group Hypothesis Testing: The General Concept and Comparing Means
Description:Within module four, you will look at statistical hypothesis tests, confidence intervals, and p-value. There is a practice quiz to prepare you for the graded quiz.
Name:Hypothesis Testing (Comparing Proportions and Incidence Rates Between Two Populations) & Extended Hypothesis Testing
Description:
Name:Project
Description:During this module, you get the chance to demonstrate what you've learned by putting yourself in the shoes of biostatistical consultant on two different studies, one about asthma medication and the other about self-administration of injectable contraception. The two research teams have asked you to help them interpret previously published results in order to inform the planning of their own studies. If you've already taken the Summarization and Measurement course, then this scenario will be familiar.
Biostatistics is an essential skill for every public health researcher because it provides a set of precise methods for extracting meaningful conclusions from data. In this second course of the Biostatistics in Public Health Specialization, you'll learn to evaluate sample variability and apply statistical hypothesis testing methods. Along the way, you'll perform calculations and interpret real-world data from the published scientific literature. Topics include sample statistics, the central limit theorem, confidence intervals, hypothesis testing, and p values.
