Multilevel and Longitudinal Modeling Using Stata, Volume II: Categorical Responses, Counts, and Survival, Third Edition.
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Multilevel and Longitudinal Modeling Using Stata, Volume II: Categorical Responses, Counts, and Survival, Third Edition.
Multilevel and Longitudinal Modeling Using Stata is a must-read for anyone doing multilevel modelling or mixed effects modelling.
Multilevel and Longitudinal Modeling Using Stata, Volume II: Categorical Responses, Counts, and Survival, Third Edition.
Numéro d'article: 30643531

Multilevel and Longitudinal Modeling Using Stata, Volume II: Categorical Responses, Counts, and Survival, Third Edition.

82% des répondants recommanderaient ceci à un ami

Numéro d'article: 30643531

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Ce qui se démarque

Comprehensive Coverage
This volume provides extensive insights into multilevel and longitudinal modeling techniques, catered specifically for categorical responses and survival analysis, making it an essential resource for advanced researchers.
User-Friendly Stata Focus
Utilizing the Stata software, this book offers practical examples and step-by-step guidance, ensuring that readers can effectively implement complex modeling techniques in their own research projects.
Updated Edition
The third edition is revised with the latest methodologies and improved explanations, ensuring that it meets current academic standards and addresses the evolving needs of quantitative researchers in various fields.

Détails du produit

Shop Multilevel and Longitudinal Modeling Using Stata, Volume II: Categorical Responses, Counts, and Survival, Third Edition. online at a best price in Djibouti. 1597181048
Publisher Stata Press
Publication date April 2, 2012
Edition 3rd
Language English
Print length 484 pages
ISBN-10 1597181048
ISBN-13 978-1597181044
Item Weight 2.25 pounds (1.02 kg)
Dimensions 7.5 x 1.25 x 9.5 inches (19.1 x 3.2 x 24.1 cm)

À qui est-ce destiné ?

Suitable For
  • Academics and Researchers

    Ideal for those conducting empirical studies requiring advanced statistical modeling techniques in various research fields.

  • Data Analysts

    Useful for professionals who perform extensive data analysis using multilevel and longitudinal data frameworks.

  • Graduate Students

    Beneficial for graduate students seeking comprehensive resources for statistics and longitudinal studies in their coursework.

Not Suitable For
  • Beginner Users

    Not suitable for novices in statistics due to its advanced content and requirement for prior knowledge in modeling.

DESCRIPTION DU PRODUIT

Multilevel and Longitudinal Modeling Using Stata, Volume II: Categorical Responses, Counts, and Survival, Third Edition.

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Questions et réponses des clients

  • question: What topics are covered in Multilevel And Longitudinal Modeling Using Stata, Volume II?

    répondre: This book extensively covers categorical responses, counts, and survival analysis using Stata. It delves into multilevel modeling and longitudinal data approaches, which are essential for researchers dealing with complex data structures. By providing practical examples and Stata coding techniques, it equips readers to handle real-world data effectively. For instance, if you're analyzing long-term health outcomes in a clinical study, this volume offers the tools to interpret your findings accurately using advanced statistical methods.
  • question: Who is the target audience for this book?

    répondre: The target audience includes researchers, statisticians, and graduate students in fields such as sociology, psychology, epidemiology, and education. Anyone involved in data analysis will benefit from the comprehensive insights presented in this volume. For instance, a PhD candidate working on their dissertation may find valuable methodologies for their longitudinal data analysis, which can enhance the rigor of their research.
  • question: Is prior knowledge of Stata required to use this book?

    répondre: While prior knowledge of Stata is advantageous, the book begins with a foundational overview needed to understand the concepts. It is suitable for both beginners and those with moderate experience in Stata. For example, if you have basic statistical knowledge but are new to Stata, the introductory sections will build the necessary skills before moving into more complex analyses, allowing you to grow in your data analysis capabilities.
  • question: Can this book be used for applied research projects?

    répondre: Absolutely. Multilevel and longitudinal modeling techniques are highly applicable in various research fields, making the book a practical resource for applied projects. For instance, social scientists can use the methodologies to analyze survey data from multiple time points. The practical examples provided will guide you in implementing these techniques in your own projects, ensuring you derive meaningful insights from your data.
  • question: What software version is needed to use this book effectively?

    répondre: This volume is designed for use with Stata, and it is recommended to have the latest version to access all features discussed. Software updates often introduce new capabilities and enhance existing functionality, which can be particularly beneficial for advanced statistical modeling. For example, if you are using Stata 17 or newer, you will be able to follow along with the examples and utilize the latest procedures and commands recommended in the book.
  • question: Are there any supplemental materials provided with the book?

    répondre: The book typically includes data sets and codes used in the examples to facilitate hands-on learning. These materials allow readers to practice the statistical techniques discussed and reinforce their understanding. For example, by following along with the provided datasets, you can replicate the analyses step-by-step, which is beneficial for mastering the application of multilevel and longitudinal models in Stata.
  • question: How does this book differ from Volume I?

    répondre: While Volume I introduces the foundational concepts of multilevel modeling, Volume II focuses specifically on categorical responses, count data, and survival analysis. This progression allows readers to build upon their knowledge. For instance, if you've mastered the basics in Volume I, you can seamlessly transition to advanced techniques in Volume II, making your research increasingly sophisticated and informed by contemporary statistical practices.
  • question: Can this book help with understanding survival analysis?

    répondre: Yes, this book provides a comprehensive section on survival analysis techniques applicable to various research scenarios. It explains key concepts, methodologies, and practical applications in detail. For instance, if you're studying patient survival rates after treatment, the insights from this volume will help you apply the correct statistical models to analyze the time until an event occurs, enhancing the robustness of your findings.
  • question: What kind of statistical models does this book focus on?

    répondre: The book focuses on a range of statistical models, including logistic regression, Poisson regression, and survival models specifically designed for categorical and count data. These models are critical for analyzing complex data structures inherent in social and health sciences. For instance, if you are exploring the impact of a public health intervention on disease outcomes, the models illustrated in this book will provide you with the analytical framework necessary to interpret your results effectively.
  • question: Where can I buy Multilevel And Longitudinal Modeling Using Stata, Volume II in Djibouti?

    répondre: You can purchase Multilevel And Longitudinal Modeling Using Stata, Volume II from Ubuy in Djibouti. Ubuy offers a convenient platform to find and buy this significant academic resource, ensuring you have access to the latest edition of this essential text for data analysis with Stata.

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Caractéristiques et avantages

  • Concise and comprehensive guide for multilevel modelling
  • Volume II is devoted to generalized linear mixed models for binary, categorical, count, and survival outcomes
  • Volume II covers models for categorical responses, including binary, ordinal, and nominal (a new chapter)
  • Models for count data
  • Models for survival data, including discrete-time and continuous-time (a new chapter)
  • Final part describes models with nested and crossed-random effects with an emphasis on binary outcomes

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