Using simple language and illustrative examples, this book comprehensively covers data management tasks that bridge the gap between raw data and statistical analysis. Rather than focus on clusters of commands, the author takes a modular approach that enables readers to quickly identify and implement the necessary task without having to access background information first. Each section in the chapters presents a self-contained lesson that illustrates a particular data management task via examples, such as creating data variables and automating error checking. The text also discusses common pitfalls and how to avoid them and provides strategic data management advice. Ideal for both beginning statisticians and experienced users, this handy book helps readers solve problems and learn comprehensive data management skills.
Gostei bastante desse livro. Ele têm tudo que uma pessoa precisa para começar para trabalhar com stata: labelling, variable management, datasets operations, grouping operations e o básico de programação em stata, como loops e ado files.
O livro não é, porém, um guia compreensivo (no sentido anglicano do termo). Tudo é apresentado de forma bastante simples e sem aprofundamento. Mas é suficiente para iniciar o usuário no programa e o resto se resolve com statalist e stackoverflow. Para interessados em uma abordagem mais aprofundada e mais focada em econometria, outros manuais, como o do Cameron (Microeconometrics Using Stata), podem ser uma pedida mais interessante.
This book was absolutely wonderful for data management, especially dealing with missing values and observation, miss-classification tables and recorded variables. Furthermore, it has very clear language and well-organised. It is useful for those who are interesting to use STATA and statistical programming.