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There is also a full suite of postestimation commands to perform hypothesis tests, form linear and nonlinear combinations, make predictions, form contrasts, and even perform marginal analysis with interaction plots.

What you learn about data management commands often applies to estimation commands, and vice-versa. You simply add vce(robust) to any estimator to obtain standard errors and hypothesis tests that are robust to many common assumptions. For example, you simply add if gender="female" to any command to limit your analysis to females in your sample. Even better, everything you learn about performing a task can be applied to other tasks. Stata's commands for performing tasks are intuitive and easy to learn. Everything is available right within Stata. But don't worry, type help my topic, and Stata will search its keywords, indexes, and even community-contributed packages to bring you everything you need to know about your topic. Stata is a big package and so has lots of documentation – over 17,000 pages in 33 manuals. Want even more detail? Our Methods and formulas sections provide the specifics of what is being computed, and our References point you to even more information. We give you a Quick start for every feature, showing some of the most common uses. The examples give you the data so you can work along in Stata and even extend the analyses.
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Each estimator is fully documented and includes several examples on real data, with real discussions of how to interpret the results.

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