Packt – Modeling Count Data using Stata-XQZT

Packt – Modeling Count Data using Stata-XQZT
English | Size: 1.06 GB
Category: Tutorial

The course is divided into two parts. In the first part, you ll be introduced to the theory behind count models in an intuitive way while keeping the math at a minimum. The course starts with an overview of count tables, where you ll learn how to calculate the incidence rate ratio. You ll get to grips with Poisson regression and understand how to work with continuous, binary, and categorical variables. As you advance, you ll explore the concept of overdispersion and how to address this issue using negative binomial models. The course also covers other count models such as truncated models and zero-inflated models.
In the second part of the course, you ll be able to apply what you have learned using Stata. You ll be taken through a large project where you ll fit the Poisson, negative binomial, and zero-inflated models. Additionally, you ll discover the tools used to compare these models.

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