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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/multiple-regression-analysis-public-health
课程评论：没有评论
课程名称：公共卫生中的多元回归分析 课程概述：生物统计学是将统计推理应用于生命科学的学科，它是解锁研究人员收集的数据和科学公共卫生文献中提供的证据的关键。在本课程中，您将学习如何基于多个变量预测单一感兴趣的结果。这门课程将向您介绍多种方法，并让您实践解读数据和对实际发表研究的数据进行计算。课程主题包括多元逻辑回归、样条方法、置信区间、p值、多元Cox回归、调整和效应修饰等内容。 课程大纲： 1. **多元回归概述与基本预测、多元线性回归** - 描述：本模块将提供多元回归的概述，并探讨其示例和应用。为帮助您熟悉内容，将提供实践测验以测试您的知识。 2. **多元逻辑回归** - 描述：第二模块涵盖多元逻辑回归的实例、模型估计基础以及对效应修饰的讨论。您将进行讲座学习，并完成实践测验和评分测验。 3. **多元Cox回归** - 描述：本课程的最后一个模块专注于多元Cox回归，“线性”假设、实例和应用等内容。您将参与实践测验、评分测验和项目。 4. **课程项目** - 描述：在此模块中，您将在生物统计顾问的角色中展示所学知识，参与两个不同研究的案例，一个涉及注射避孕法的自我管理，另一个有关巴西的医疗预约安排。两个研究团队希望您帮助解释以往已发布结果，以指导他们自身研究的规划。如果您已参加该专业的其他课程，这一情景将是熟悉的。 通过本课程，您将掌握多元回归分析的基本知识，并应用于公共卫生领域的数据分析与解读。
Name:An Overview of Multiple Regression for Estimation, Adjustment, and Basic Prediction, and Multiple Linear Regression
Description:Within this module, an overview of multiple regression will be provided. Additionally, examples and applications will be examined. A practice quiz is provided to test your knowledge before completing the graded quiz.
Name:Multiple Logistic Regression
Description:Module two covers examples of multiple logistic regression, basics of model estimates, and a discussion of effect modification. In addition to lectures, you will also be completing a practice quiz and graded quiz.
Name:Multiple Cox Regression
Description:The last module for this class focuses on multiple Cox regression, the “Linearity” assumption, examples, and applications. You will complete a practice quiz, graded quiz, and project.
Name:Course 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 self-administration of injectable contraception and one about medical appointment scheduling in Brazil. 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 other courses in this specialization, then this scenario will be familiar.
Biostatistics is the application of statistical reasoning to the life sciences, and it's the key to unlocking the data gathered by researchers and the evidence presented in the scientific public health literature. In this course, you'll extend simple regression to the prediction of a single outcome of interest on the basis of multiple variables. Along the way, you'll be introduced to a variety of methods, and you'll practice interpreting data and performing calculations on real data from published studies. Topics include multiple logistic regression, the Spline approach, confidence intervals, p-values, multiple Cox regression, adjustment, and effect modification.
