Data Management Using Stata - A Practical Handbook - Grand Format

Data Management Using Stata : A Practical Handbook focuses on tasks that bridge the gap between raw data and statistical analysis. The chapters are organized by data-management areas : reading and writing datasets, cleaning data, labeling datasets, creating variables, combining dataseis, processing observations across subgroups, changing the shape of dataseis, and programming for data management. Within each chapter, each section is a self-contained lesson illustrating a particular data-management task (e.g., creating date variables or automating error checking) via examples.
This modular design allows you to quickly identify and implement the most common data-management tasks without having to read background information fast. In addition to the "nuts and bolts" examples, author Michael Mitchell alerts users to common pitfalls (and how to avoid them) and provides strategic data-management advice. This book can be used as a quick reference for solving problems as they arise or can be read as a means for learning comprehensive data-management skills.
New users will appreciate this book as a valuable way to learn data management, while experienced users will find this information to be handy and time-saving—there is a good chance that even the experienced user will learn some new tricks. Michael Mitchell is a senior statistician in health services research. He is the author of A Visual Guide to Stata Graphics, 2nd Edition, as well as the Stata Tidbit of the Week.
Previously, he worked for 12 years as a statistical consultant and manager of the UCLA ATS Statistical Consulting Group. There, he envisioned the UCLA Statistical Consulting Resources web site and wrote hundreds of web pages about Stata.