Simona Boffelli and Giovanni Urga's
Financial Econometrics Using Stata provides an excellent introduction to time-series analysis and how to do it in Stata for financial economists. Aimed at researchers, graduate students, and industry practitioners, this book introduces readers to widely used methods, shows them how to perform these methods in Stata, and illustrates how to interpret the results.
Christopher F. Baum's
An Introduction to Stata Programming, Second Edition,
is a great reference for anyone who wants to learn Stata programming.
Michael N. Mitchell's
Stata for the Behavioral Sciences
is the ideal reference for researchers using Stata to fit ANOVA
models and other models commonly applied to behavioral science data.
Drawing on his education in psychology and his experience
in consulting, Mitchell uses terminology and examples
familiar to the reader as he demonstrates how to fit a variety
of models, how to interpret results, how to understand simple
and interaction effects, and how to explore results graphically.
Sharon Lawner Weinberg and Sarah Knapp Abramowitz's
Statistics Using Stata: An Integrative Approach
is an introductory text that seeks not only to teach statistical
principles but also to give students hands-on experience
applying those principles using Stata. Throughout the text,
the introduction of new statistical concepts is often accompanied
by a real-world example using Stata.
Essentials of a Successful Biostatistical Collaboration
is a unique approach to a biostatistics text in that
the focus is not purely on study design and statistical
analyses. While these topics are certainly discussed,
equal attention is given to topics such as planning, project
management, and effective communication that are important
for any biostatistician who is collaborating with a research team.
Every installation of Stata includes all the documentation in PDF
format. Stata’s documentation consists of over 12,000 pages detailing
each feature in Stata, including the methods and formulas and fully