Logistic Regression Using Stata | Packt


Logistic Regression Using Stata | Packt | Packt
English | Size: 1.15 GB
Genre: eLearning

Learn
Create contingency tables
Grasp the concept of logistic regression
Understand the output produced by logistic regression
Calculate the odds ratio
Discover when to use logistic regression
Apply logistic regression using Stata
Work with categorical variables for statistical analysis
About
Stata is one of the leading statistical software packages widely used in different fields. This course is divided into two parts. The first part covers the theory behind logistic regression, and the second part enables you to apply the theory to practical scenarios using Stata.

Starting with an introduction to contingency tables, you’ll learn how to interpret the odds and calculate the odds ratios. You’ll then understand when and how to use the logistic regression technique. The course covers topics such as model building, prediction, and assessment of model fit. Additionally, it will help you get to grips with diagnostics by explaining the concept of residuals and influential observations. As you advance, you’ll be taken through a real-world project to understand and implement various commands.

By the end of this course, you’ll have all the knowledge you need to apply logistic regression for descriptive statistics.

All codes and supporting files are available at-

https://github.com/PacktPublishing/Logistic-Regression-using-Stata

Features
Understand the theory behind logistic regression in detail
Explore different goodness of fit tests including likelihood ratio test and Hosmer-Lemeshow test
Get to grips with the fundamentals by applying them in a practical project

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