Applied Multilevel Analysis

A Practical Guide for Medical Researchers

Nonfiction, Health & Well Being, Medical, Ailments & Diseases, Infectious Diseases, Epidemiology, Reference, Public Health
Cover of the book Applied Multilevel Analysis by Jos W. R.  Twisk, Cambridge University Press
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Author: Jos W. R. Twisk ISBN: 9781316099421
Publisher: Cambridge University Press Publication: March 28, 2006
Imprint: Cambridge University Press Language: English
Author: Jos W. R. Twisk
ISBN: 9781316099421
Publisher: Cambridge University Press
Publication: March 28, 2006
Imprint: Cambridge University Press
Language: English

This is a practical introduction to multilevel analysis suitable for all those doing research. Most books on multilevel analysis are written by statisticians, and they focus on the mathematical background. These books are difficult for non-mathematical researchers. In contrast, this volume provides an accessible account on the application of multilevel analysis in research. It addresses the practical issues that confront those undertaking research and wanting to find the correct answers to research questions. This book is written for non-mathematical researchers and it explains when and how to use multilevel analysis. Many worked examples, with computer output, are given to illustrate and explain this subject. Datasets of the examples are available on the internet, so the reader can reanalyse the data. This approach will help to bridge the conceptual and communication gap that exists between those undertaking research and statisticians.

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This is a practical introduction to multilevel analysis suitable for all those doing research. Most books on multilevel analysis are written by statisticians, and they focus on the mathematical background. These books are difficult for non-mathematical researchers. In contrast, this volume provides an accessible account on the application of multilevel analysis in research. It addresses the practical issues that confront those undertaking research and wanting to find the correct answers to research questions. This book is written for non-mathematical researchers and it explains when and how to use multilevel analysis. Many worked examples, with computer output, are given to illustrate and explain this subject. Datasets of the examples are available on the internet, so the reader can reanalyse the data. This approach will help to bridge the conceptual and communication gap that exists between those undertaking research and statisticians.

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