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所在平台: Udemy |
课程主页: https://www.udemy.com/course/modeling-count-data-using-stata/
课程评论：没有评论
Coursera 课程“使用 Stata 对计数数据进行建模”总结： 本课程分为两部分，旨在教授如何在 Stata 中对计数数据进行建模。 **第一部分：理论基础** * **计数模型理论：** 以直观且数学推导最少的方式介绍计数模型背后的理论。 * **计数表：** 学习如何计算发病率比。 * **泊松回归：** 学习如何纳入连续变量、二元变量和分类变量。 * **过度分散：** 了解过度分散的概念，并学习使用负二项模型来解决该问题。 * **其他计数模型：** 讨论截尾模型和零膨胀模型。 **第二部分：Stata 实践应用** * **项目实践：** 通过一个大型项目，指导学生实际操作拟合泊松回归、负二项回归和零膨胀模型。 * **模型比较：** 介绍用于比较不同计数模型的工具和方法。 本课程包含电子书和幻灯片，帮助学习者从理论到实践全面掌握使用 Stata 对计数数据进行建模的技能。
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 count models. The theory is explained in an intuitive way while keeping the math at a minimum. The course starts with an introduction to count tables, where students learn how to calculate the incidence-rate ratio. From there, the course moves on to Poisson regression where students learn how to include continuous, binary, and categorical variables. Students are then introduced to the concept of overdispersion and the use of negative binomial models to address this issue. Other count models such as truncated models and zero-inflated models are discussed.In the second part of the course, students learn how to apply what they have learned using Stata. In this part, students will walk through a large project in order to fit Poisson, negative binomial, and zero-inflated models. The tools used to compare these models are also introduced.
