Stata Programming
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An Introduction to Stata Programming
"The second edition of this book contains several new recipes illustrating how do-files, ado-files, and Mata functions can be used to solve programming problems. Several recipes have also been updated to reflect new features in Stata added between versions 10 and 14. The discussion of maximum-likelihood function evaluators has been significantly expanded in this edition. The new topics covered in this edition include factor variables and operatores; use of margins, marginsplot, and suest; Mata-based likelihood function evaluators; and associative arrays."--Preface.
The Mata Book
The Mata Book: A Book for Serious Programmers and Those Who Want to Be is the book that Stata programmers have been waiting for. Mata is a serious programming language for developing small- and large-scale projects and for adding features to Stata. What makes Mata serious is that it provides structures, classes, and pointers along with matrix capabilities. The book is serious in that it covers those advanced features, and teaches them. The reader is assumed to have programming experience, but only some programming experience. That experience could be with Stata's ado language, or with Python, Java, C++, Fortran, or other languages like them. As the book says, "being serious is a matter of attitude, not current skill level or knowledge". The author of the book is William Gould, who is also the designer and original programmer of Mata, of Stata, and who also happens to be the president of StataCorp.
A Comprehensive Guide to Coding and Programming in Stata
This book is an introductory guide to programming and coding in Stata. Commonly encountered code in the field of medical statistics as well as the analyses of observational data are presented. For those who are involved in the analyses of observational studies, the need to sometimes assemble large datasets will necessitate a detailed understanding of loops and macros. This book covers these materials early on and then describes other commonly required coding commands. For those who program in a controlled environment (.e.g. medical statisticians who perform analyses for regulatory bodies), the production of log files, a suggested folder structure and analysis pathway are covered. This book also includes a wide range of tabulation commands and other methods of producing tables of descriptive statistics. The text also then provides a clear explanation of how to perform some inferential analyses (including how to extract and format the coefficients for use in subsequent reports). The focus on coding allows beginners to grasp the basics of coding and programming, as well as allowing established researchers to hone their skills and become more advanced programmers. Key Features: Covers the fundamental of using and understanding Stata. Able to be used by anyone looking to learn the basics of coding. Introduces and explains difficult concepts such as macros from the outset.