Modeling Count Data using Stata

Modeling Count Data using Stata, available at $59.99, has an average rating of 4.75, with 29 lectures, based on 57 reviews, and has 1746 subscribers.

You will learn about Understand count tables Calculate incidence-rate ratios Understand what count models are Identify when to use count models Poisson regression Negative binomial regression Truncated models Zero-inflated models Predict expected number of outcomes Apply count models using Stata Compare different models Visualise the results This course is ideal for individuals who are Beginner non-mathematical students seeking to become data scientists It is particularly useful for Beginner non-mathematical students seeking to become data scientists.

Enroll now: Modeling Count Data using Stata

Summary

Title: Modeling Count Data using Stata

Price: $59.99

Average Rating: 4.75

Number of Lectures: 29

Number of Published Lectures: 29

Number of Curriculum Items: 29

Number of Published Curriculum Objects: 29

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will Learn

Understand count tables
Calculate incidence-rate ratios
Understand what count models are
Identify when to use count models
Poisson regression
Negative binomial regression
Truncated models
Zero-inflated models
Predict expected number of outcomes
Apply count models using Stata
Compare different models
Visualise the results

Who Should Attend

Beginner non-mathematical students seeking to become data scientists

Target Audiences

Beginner non-mathematical students seeking to become data scientists

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.

Course Curriculum

Chapter 1: Count tables

Lecture 1: Introduction

Lecture 2: Count tables

Lecture 3: Risk

Lecture 4: Inceidence-rate ratio

Lecture 5: Two-by-three tables

Chapter 2: Poisson regression

Lecture 1: Single independent variable

Lecture 2: Examples

Lecture 3: Binary variables

Lecture 4: Multiple independent variables

Lecture 5: Categorical variables

Lecture 6: Exposure

Chapter 3: Other count models

Lecture 1: Negative binomial regression

Lecture 2: Truncated models

Lecture 3: Zero-inflated models

Lecture 4: Comparison of models

Chapter 4: Prediction

Lecture 1: Predicting the number of events

Lecture 2: Predicting probabilities of certain counts

Chapter 5: Application: Fitting the model

Lecture 1: Introduction to the dataset

Lecture 2: Continuous variables

Lecture 3: Binary variables

Lecture 4: Multivariate analysis

Lecture 5: Negative binomial regression

Lecture 6: Zero-inflated models

Chapter 6: Application: Model Comparison and Prediction

Lecture 1: Comparing count models

Lecture 2: Model interpretation: predicted number of events

Lecture 3: Model interpretation: predicted probabilities of different outcomes

Lecture 4: Visualizing the model: predicted number of events

Lecture 5: Visualizing the model: predicted probabilities of different outcomes

Chapter 7: Conclusion

Lecture 1: Conclusion

Instructors

Najib Mozahem
Assistant Professor

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 4 votes
4 stars: 15 votes
5 stars: 38 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

Menu