Modeling Count Data Using Stata

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Modeling Count Data Using Stata

Modeling Count Data Using Stata written by Najib Mozahem and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.

Learn Poisson and negative binomial regression techniques About This Video Work with single and multiple independent variables Learn about model visualization and probability prediction Get acquainted with the dataset and explore continuous and binary variables In Detail 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.

Modeling Count Data

Modeling Count Data written by Joseph M. Hilbe and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-21 with Business & Economics categories.

This book provides guidelines and fully worked examples of how to select, construct, interpret and evaluate the full range of count models.

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