Stata

Packt – Visualizing Data Using Stata-XQZT

Packt – Visualizing Data Using Stata-XQZT
English | Size: 1.95 GB
Category: Tutorial

This course introduces you to the graphical capabilities of Stata. It is designed to guide you through the logic of extracting meaning from datasets using visualization tools. This is accomplished by using a single dataset from the start of the course up until the very end. You will get up to speed with histograms, quantile plots, and symmetry plots, and even understand how to use these tools to investigate whether group differences exist. The course then introduces you to bar graphs, box plots, and dot plots, and demonstrates how these graphs can be used to study differences in groups that are divided along more than one dimension. You will later learn how to decide which type of plot is best suited for your needs

Packt – An Introduction to Stata

Packt – An Introduction to Stata-XQZT
English | Size: 2.02 GB
Category: Tutorial

If you re looking to get started with Stata and manage your data effectively, then this course will help you develop your knowledge.
The course is designed to get you up and running with the basic functionality of Stata and how it can be used to analyze large datasets. You ll even get hands-on experience as you work through two projects. All along, the course follows a step-by-step approach to help you understand the different commands. Although Stata comes with many datasets, this course features the instructor s own datasets to demonstrate the thought process involved in collecting data.

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.