#### Overview of this book

Data Analysis with Stata
Credits
www.PacktPub.com
Preface
Free Chapter
Introduction to Stata and Data Analytics
Stata Programming and Data Management
Data Visualization
Important Statistical Tests in Stata
Linear Regression in Stata
Logistic Regression in Stata
Survey Analysis in Stata
Time Series Analysis in Stata
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...