Since 2003, the Stata
Journal has included Stata Tips on special issues in data analysis
with Stata. Now Seventy-six Stata Tips, 2nd
Edition compiles these useful guides into a compact tome for ease of
reference.
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Common Errors in Statistics (and How to Avoid Them), Third Edition,
by Phillip I. Good and James W. Hardin, contains common sense, minimally
technical advice about how to improve experimental design, analyze data, and
present results.
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The Stata Multiple-Imputation Reference
Manual provides a substantive introduction to multiple imputation and a
full descriptiion of Stata’s mi command. mi provides imputation features
and analysis features along with full data management of multiple-imputation
datasets.
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Microeconometrics Using Stata,
by A. Colin Cameron and Pravin K. Trivedi,
is an outstanding introduction to microeconometrics and how to do microeconometric research using Stata.
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The Workflow of Data Analysis Using Stata, by
J. Scott Long, is an essential productivity tool for data analysts. Aimed at
anyone who analyzes data, this book presents an effective strategy for
designing and doing data-analytic projects.
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