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所在平台: Udemy |
课程主页: https://www.udemy.com/course/logistic-regression-using-stata/
课程评论：没有评论
Coursera 课程 “使用 Stata 进行逻辑回归” 课程总结： 本课程深入浅出地介绍了逻辑回归的理论和实践应用，特别侧重于使用 Stata 软件进行操作。课程包含一本电子书和一套幻灯片。 **第一部分：理论基础** * **直观讲解，数学简化：** 课程以直观的方式解释逻辑回归背后的理论，尽量减少复杂的数学推导。 * **从列联表入手：** 首先介绍列联表，教授如何计算和解释“赔率”（odds）和“赔率比”（odds ratio）。 * **逻辑回归核心：** 接着深入逻辑回归主题，讲解何时以及如何使用这种回归技术。 * **关键主题：** 涵盖了模型构建、预测以及模型拟合度的评估。 * **诊断方法：** 还包括残差分析和识别有影响力的观测值等诊断方法，以确保模型的有效性。 **第二部分：Stata 实操应用** * **理论实践结合：** 学生将学习如何利用 Stata 将所学的理论知识付诸实践。 * **大型项目实践：** 通过一个大型项目，引导学生理解在整个数据分析过程中可能遇到的问题，并学习相应的 Stata 命令来解决这些问题。 总而言之，本课程旨在帮助学习者全面掌握逻辑回归的理论，并能够熟练运用 Stata 软件进行数据分析和模型构建。
Included in this course is an e-book and a set of slides. The course is divided into two parts. In the first part, students are introduced to the theory behind logistic regression. The theory is explained in an intuitive way. The math is kept to a minimum. The course starts with an introduction to contingency tables, in which students learn how to calculate and interpret the odds and the odds ratios. From there, the course moves on to the topic of logistic regression, where students will learn when and how to use this regression technique. Topics such as model building, prediction, and assessment of model fit are covered. In addition, the course also covers diagnostics by covering the topics of residuals and influential observations.In the second part of the course, students learn how to apply what they learned using Stata. In this part, students will walk through a large project in order to understand the type of questions that are raised throughout the process, and which commands to use in order to address these questions.
