Free PDF Data Management Using Stata: A Practical Handbook, by Michael N. Mitchell
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Data Management Using Stata: A Practical Handbook, by Michael N. Mitchell
Free PDF Data Management Using Stata: A Practical Handbook, by Michael N. Mitchell
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Review
The author uses a "learning by example" approach in the book. Overall this works well …―Morteza Marzjarani, The American Statistician, November 2011
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About the Author
Michael N. Mitchell is a senior statistician in health services research. For 12 years, he worked in the Statistical Consulting Group of the UCLA Academic Technology Services.
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Product details
Paperback: 387 pages
Publisher: Stata Press; 1 edition (May 24, 2010)
Language: English
ISBN-10: 1597180769
ISBN-13: 978-1597180764
Product Dimensions:
7 x 0.8 x 9 inches
Shipping Weight: 1.8 pounds (View shipping rates and policies)
Average Customer Review:
5.0 out of 5 stars
8 customer reviews
Amazon Best Sellers Rank:
#235,361 in Books (See Top 100 in Books)
This book details the various ways to use Stata to clean and organize data. It has very helpful examples that make understanding concepts simple. It is particularly great as a reference manual with easy to find solutions to most any problem. One of the best books on Stata I have ever read, if you are a beginner with Stata it will definitely get you started and if you are familiar with Stata already it will bring you to the next level.
Excellent book!
This book is very helpful with all sorts of data management tasks in Stata.
I love this book because it is exactly what you would expect it to be: a practical guide. The book is very well organized. The writing is concise. I was able to find everything I needed.
Terrific book.
This book is well organized, well written, and provides a wealth of useful information on data management. Getting your data into shape for analysis is often one of the biggest tasks in a statistical project. If you're new to Stata (which I am, though I have experience with other statistical software), this acquaints you with the wealth of data management tools available. It doesn't cover every last detail, but once you know which commands will do what you want, getting additional details from the Stata help is easy. Having recently started using Stata, I've bought a half dozen books on various aspects of Stata. I go back to this one over and over and always find what I need quickly. The book is self-contained within topics, so you don't need to read the whole thing or understand chapters 1 through 6 to use something from chapter 7, for example. But it does provide useful cross-references, such as "Section xx gives further examples of the use of yyy." This book easily returns its value in time and headaches saved.
Michael Mitchell has filled a void. For anyone (statistician, clinician/researcher, data manager, and many more) using Stata for research, this book will be a very useful addition to their library. In contrast to other Stata books, Mitchell's work covers the technical details of how to actually manage your data. I have found that this particular aspect has been glossed over by most Stata books, despite its paramount importance. For those who are wondering, this book is quite different from The Workflow of Data Analysis Using Stata by J Scott Long. I have both and they both are well-used (I would say they are complementary). I enjoy Mitchell's writing style, which is informal enough to be approachable, but technically accurate and easy to navigate. The author is a well-known person within the Stata community who has credibility in this domain, and I thank him for creating this useful book.
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