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Data Analysis with STATA

You're reading from   Data Analysis with STATA Explore the big data field and learn how to perform data analytics and predictive modelling in STATA

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Product type Paperback
Published in Oct 2015
Publisher Packt
ISBN-13 9781782173175
Length 176 pages
Edition 1st Edition
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Toc

Table of Contents (11) Chapters Close

Preface 1. Introduction to Stata and Data Analytics FREE CHAPTER 2. Stata Programming and Data Management 3. Data Visualization 4. Important Statistical Tests in Stata 5. Linear Regression in Stata 6. Logistic Regression in Stata 7. Survey Analysis in Stata 8. Time Series Analysis in Stata 9. Survival Analysis in Stata Index

Logistic regression in Stata


The two commands of Stata are the logit command and the logistic command. The logit command demonstrates the coefficient whereas logistic demonstrates the odds ratios. One can also find out the odds ratios from the logit command through the or option. In the second section, we will discuss how coefficients and odds are interrelated and how they can be converted. Now, let's take a look at the logarithm pattern. The logs used in this section are natural logs. An example is if log (d) = e, then log (8) = 0.90308 exp (0.90308) = 8; here, exp represents exponentiation, and it is essential because it shows the link between the coefficient and odds ratios. To better understand the difference between the logit coefficient and the logit command, we have built few sets of data; the tabulate command is used for their distribution. In OLS regression, predicted values are used and graph a is plotted; we will use the same thing here. An example is given later on in the chapter...

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