The second edition of Linear Mixed Models: A
Practical Guide Using Statistical Software, provides an
excellent first course in the theory and methods of linear mixed
models. Each chapter highlights a different software pa ckage
and teaches you the basics of fitting mixed models therein. If
you wish to fit linear mixed models, whether in Stata or
elsewhere, we recommend this text.
Stata for Quantitative Analysis, Second Edition, by Kyle
C. Longest, provides an excellent introduction to Stata for
users who have never used statistical analysis software before.
The book starts by describing Stata's graphical interface, how
to import data from Microsoft Excel spreadsheets, and how to use
the Data Editor. Subsequent chapters show how to obtain
descriptive statistics, create do-files, manage data, produce
graphs, and perform basic analyses using linear regression and
analysis of variance.
Speaking Stata Graphics, by Nicholas J. Cox, is ideal for researchers who want to produce effective, publication-quality graphs. A compilation of articles from the popular “Speaking Stata” column by Cox, this book provides valuable insights about Stata's built-in and user-written statistical-graphics commands.
Every installation of Stata includes all the documentation in PDF
format. Stata’s documentation consists of over 11,000 pages detailing
each feature in Stata including the methods and formulas and fully