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.
Analysis with Stata, by John Thompson, is a complete
guide to using Stata for Bayesian analysis. It contains just
enough theoretical and foundational material to be useful to a
ll levels of users interested in Bayesian statistics, from
neophytes to aficionados.
A Gentle Introduction to Stata, Fourth Edition, by Alan C. Acock, is aimed at new Stata users who want to become proficient in Stata. After reading this introductory text, new users will not only be able to use Stata well but will also learn new aspects of Stata.
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.
Woodward’s third edition of
Epidemiology: Study Design and Data Analysis
has two target audiences: researchers who need statistical solutions to
epidemiology problems and statisticians who wish to learn how their science
applies to epidemiology. This book successfully presents statistical
principles in epidemiology in a manner that is neither too theoretical nor
too replete with medical jargon.
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