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Free Ebook Applied Multilevel Analysis: A Practical Guide for Medical Researchers (Practical Guides to Biostatistics and Epidemiology), by Jos W. R.
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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; those books are difficult for non-mathematical researchers. In contrast, this volume provides an accessible account on the practical application of multilevel analysis in research. 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 reanalyze the data. This approach will help bridge the conceptual and communication gap that exists between researchers and statisticians.
- Published on: 2010-03-26
- Original language: English
- Binding: Printed Access Code
Review
'... a concise practical guide for non-mathematical researchers beginning to use this technique in their work.' Pradeep Malakar, Institute Food Research
About the Author
Professor Dr Jos W. R. Twisk is a Professor of Applied Biostatistics and Head of the Expertise Centre of Longitudinal Data Analysis. Furthermore, he is a Senior Researcher and Lecturer in the Department of Epidemiology and Biostatistics, Vrije Universiteit Medical Centre and the Department of Health Sciences, Vrije Universteit, Amsterdam.
Most helpful customer reviews
6 of 6 people found the following review helpful.
Enough for you to get acquainted with these models
By VSOP
The book is easy to understand and presents a series of situations where multilevel models are applied, in the context of epidemiological analysis. The examples are mostly very simple, and I don't think the book will help if you want to fit models. If you want to understand them better, then it may be of use. I have some other restrictions as well - some concepts presented in chapter 2 (section 2.8.1) are in direct contradiction with MLwiN user's guide (version 2, 2005, section 7.5, p.86). My understanding is that the latter is correct. Also, a model fitted in chapter 3 with a dichotomous variable random at level 2 includes the covariance parameter, what looks wrong to me. All in all, I think there are better options for an introductory text, e. g. Snijders & Bosker (1999).
1 of 1 people found the following review helpful.
Love it
By utamie
Friendly way to understand multilevel analysis from scratch. For me, it is easy to understand and applicable. Good book, worth the money.
It is just make sure you order from Amazon, not the other third party seller. Even though the price difference is seen, trust me, it is better buy it from Amazon. I have bad experience with other third party seller where I receive an empty package. It was a hassle. amazon package also come in a save sturdy box, with a very good book condition.
1 of 1 people found the following review helpful.
Exactly what I needed
By drewdog235
Great! Does not help with all different types of statistical programs, but you can figure it out if you understand your program well. Phenomenal job of explaining the important principles behind the different techniques, how to approach using multilevel modeling for your needs. Very approachable with a basic knowledge of statistics. Understand t test and chi Square, you can understand this book.
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