Alan Acock's new book, A Practical Guide to Logistic Regression Using Stata, is written for students and researchers who are new to logistic regression and who want to focus on applications, rather than theory. This guide teaches when and why logistic regression is appropriate, how to easily fit these models by using Stata, and how to interpret and present the results.
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This new 361-page Machine Learning in Stata Using H2O Reference Manual is complete with fully worked examples to help get you started with machine learning via H2O in Stata.
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Franz Buscha’s Graphs Everyone Should Know and How to Create Them in Stata is written for anyone who uses Stata to make graphs. Beginners will find a complete collection of tools for effectively visualizing their data and results. Experienced Stata users are certain to learn some new tricks as well.
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Michael Mitchell’s Create and Export Tables Using Stata shows you how to create tables of summary statistics and regression results
using Stata’s table, dtable, and etable commands, as well as the
collect suite of commands
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The newest set of Stata bookmarks featuring Kimiko Osada Bowman, Alanna Connors, Evelyn Fix, Wilfred Keith Hastings, and Michael Hills are now available. Just released with Stata 19.
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Stata Press ® offers books with clear, step-by-step examples that make teaching and learning easier.
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Stata documentationStata’s documentation consists of over 19,000 pages detailing each feature in Stata, including the methods and formulas and fully worked examples. |
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Stata JournalSubscribe for articles about statistics and Stata, reviews of books, tips on Stata programming, and new commands. |