Название: Multilevel and Longitudinal Modeling Using Stata, Fourth Edition, Volumes I and IIАвтор: Sophia Rabe-Hesketh, Anders Skrondal
Издательство: Stata Press
Год: 2022
Страниц: 1047
Язык: английский
Формат: epub
Размер: 30.2 MB
This book is a complete resource for learning to model data in which observations are grouped-whether nested data such as children nested in schools or repeated observations on the same individuals. Rabe-Hesketh and Skrondal introduce a variety of multilevel models for continuous, binary, count, and other outcomes. They also explain when each model is useful, how to fit and evaluate the model using Stata, and how to interpret the results. With this comprehensive coverage, researchers who need to apply multilevel models will find this book to be the perfect companion. It is also an excellent text for courses in multilevel modeling because it provides examples from a variety of disciplines as well as end-of-chapter exercises that allow students to practice newly learned material.
This book shows how all the analyses described can be performed using Stata. There are many advantages of using a general-purpose statistical package such as Stata. First, for those already familiar with Stata, it is convenient not having to learn a new stand-alone package. Second, conducting multilevel analysis within a powerful package has the advantage that it allows complex data manipulation to be performed, alternative estimation methods to be used, and publication-quality graphics to be produced, all without having to switch packages. Finally, Stata is a natural choice for multilevel and longitudinal modeling because it has gradually become perhaps the most powerful general-purpose statistics package for such models.
Each chapter is based on one or more research problems and real datasets. After describing the models, we walk through the analysis using Stata, pausing to address statistical issues that need further explanation. Do-files for each chapter can be downloaded from Internet. Some readers may find it useful to perform the analyses while reading the book.
Stata can be used either via a graphical user interface (GUI) or through commands. We recommend using commands interactively—or preferably in do-files—for serious analysis in Stata. For this reason, and because the GUI is fairly self-explanatory, we use commands exclusively in this book. However, the GUI can be useful for learning the Stata syntax. Generally, we use the typewriter font to refer to Stata commands, syntax, and variables. A “dot” prompt followed by a command indicates that you can type verbatim what is displayed after the dot (in context) to replicate the results in the book. Some readers may find it useful to intersperse reading with running these commands. We encourage readers to write do-files for solving the data analysis exercises because this is standard practice for professional data analysis. We will generally describe all Stata commands that can be used to fit a given model, discussing their advantages and disadvantages.
Books:
1) Multilevel and Longitudinal Modeling Using Stata, Fourth Edition, Volume I: Continuous Responses
2) Multilevel and Longitudinal Modeling Using Stata, Fourth Edition, Volume II: Categorical Responses, Counts, and Survival
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