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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/simple-regression-analysis-public-health
课程评论：没有评论
课程名称：公共卫生中的简单回归分析 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，它是解锁研究者收集的数据及科学公共卫生文献中证据的关键。在本课程中，我们将重点介绍如何通过线性方程确定一个感兴趣的结果与单一预测因子之间的关系。课程将介绍多种方法，让你练习解读数据并对来自已发表研究的真实数据进行计算。主题包括逻辑回归、置信区间、P值、Cox回归、混杂、调整和效应修饰。 课程大纲： 1. **简单回归方法**：模块一涵盖简单回归、四种不同类型的回归及其共性，简要介绍简单线性回归。在完成评分测验之前，你可以通过练习测验检验自己的知识。 2. **简单逻辑回归**：在模块二中，我们将研究逻辑回归，创建置信区间并估计P值。你将有机会在练习测验和评分测验中检测自己的知识。 3. **简单Cox比例风险回归**：模块三重点讨论带有不同预测因子的Cox回归。你将首先参加练习测验，然后进行评分测验以测试自己的知识。 4. **混杂、调整和效应修饰**：在模块四中，你将学习混杂和调整，以及未调整和已调整的关联估计。同时，你将了解效应修饰。与之前的模块类似，你将首先完成练习测验，然后进行评分测验。 5. **课程项目**：在此模块中，你有机会展示所学知识，假装自己是生物统计顾问，参与两个不同的研究：一个关于自我管理注射避孕的研究，另一个关于巴西医疗预约调度的研究。这两个研究团队请求你帮助解读已发表的结果以指导他们自己的研究规划。如果你已经参加过该专业的其他课程，这一场景将对你并不陌生。
Name:Simple Regression Methods
Description:Module one covers simple regression, the four different types of regression, commonalities between them, and simple linear aggression. Before completing the graded quiz, you can test your knowledge with the practice quiz.
Name:Simple Logistic Regression
Description:Within module two, we will look at logistic regression, create confidence intervals, and estimate p-values. You will have the opportunity to test your knowledge in both a practice quiz and a graded quiz.
Name:Simple Cox Proportional Hazards Regression
Description:Module three focuses on Cox regression with different predictors. You will have the opportunity to test your knowledge first with the practice quiz and, then, with the graded quiz.
Name:Confounding, Adjustment, and Effect Modification
Description:Within module four, you will look at confounding and adjustment, and unadjusted and adjusted association estimates. Additionally, you will learn about effect modification. Similar to previous modules, you will first take a practice quiz before completing the graded quiz.
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, we'll focus on the use of simple regression methods to determine the relationship between an outcome of interest and a single predictor via a linear equation. 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 logistic regression, confidence intervals, p-values, Cox regression, confounding, adjustment, and effect modification.
