- Häftad (Paperback)
- Antal sidor
- Cambridge University Press
- Worked examples or Exercises; 00 Printed music items; 00 Tables, unspecified; 00 Tables, color; 00 T
- Applied Mixed Model Analysis: A Practical Guide
- 247 x 177 x 19 mm
- Antal komponenter
- 453 g
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Applied Mixed Model Analysis
A Practical Guide
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Fler böcker av Jos W R Twisk
Applied Longitudinal Data Analysis for Epidemiology
Jos W R Twisk
This book discusses the most important techniques available for longitudinal data analysis, from simple techniques such as the paired t-test and summary statistics, to more sophisticated ones such as generalized estimating of equations and mixed m...
Applied Multilevel Analysis
Jos W R Twisk
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-mathema...
Bloggat om Applied Mixed Model Analysis
Jos W. R. Twisk specializes in the methodological field of longitudinal data analysis and multilevel/mixed model analysis, about which he has written three textbooks. He has also authored a textbook on applied biostatistics in Dutch. He is director of the epidemiology Master's program of the Vrije Universiteit Medical Center, Amsterdam and Head of the Expertise Center for Applied Longitudinal Data Analysis. His main activities include applied methodological research, consulting, and teaching courses on mixed model analysis, longitudinal data analysis, multilevel analysis and applied basic statistics. He has authored and coauthored more than 650 peer-reviewed international papers.
1. Introduction; 2. Basic principles of mixed model analysis; 3. What is gained by using mixed model analysis?; 4. Logistic mixed model analysis; 5. Mixed model analysis with other outcomes; 6. Explaining differences between groups; 7. Multivariable modelling; 8. Predictions based on mixed model analysis; 9. Mixed model analysis for longitudinal data; 10. Multivariate mixed model analysis; 11. Sample size calculations; 12. Some loose ends.