Robust Methods in Biostatistics
Language: English
Published by John Wiley and Sons Inc, US, 2009
- Hardcover
- New
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
AbeBooks seller since June 11, 2025
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Seller Inventory # LU-9780470027264
- Title
- Robust Methods in Biostatistics
- Author
- Stephane Heritier, Eva Cantoni, Samuel Copt, Maria-Pia Victoria-Feser
- Publisher
- John Wiley and Sons Inc, US
- Publication year
- 2009
- Condition
- New
- Binding
- Hardback
- Language
- English
- ISBN 10
- 0470027266
- ISBN 13
- 9780470027264
- Item weight
- 539 grams
Robust Methods in Biostatistics proposes robust alternatives to common methods used in statistics in general and in biostatistics in particular and illustrates their use on many biomedical datasets. The methods introduced include robust estimation, testing, model selection, model check and diagnostics. They are developed for the following general classes of models:
- Linear regression
- Generalized linear models
- Linear mixed models
- Marginal longitudinal data models
- Cox survival analysis model
The methods are introduced both at a theoretical and applied level within the framework of each general class of models, with a particular emphasis put on practical data analysis. This book is of particular use for research students,applied statisticians and practitioners in the health field interested in more stable statistical techniques. An accompanying website provides R code for computing all of the methods described, as well as for analyzing all the datasets used in the book.
"Synopsis" may belong to another edition of this title.
About the Author
Dr Eva Cantoni, Department of Econometrics, University of Geneva, Switzerland. Also a senior lecturer in statistics, Dr Cantoni has many years teaching and research experience, and written a number journal articles.
Dr Samuel Copt, NHMRC Clinical Trials Centre, University of Sydney, Australia. Having completed his PhD in 2004, Dr Copt has already spent a year as a lecturer and published six journal articles. He is now a visiting scholar at the University of Sydney.
Professor Maria-Pia Victoria-Feser, HEC Section, University of Geneva, Switzerland. Professor Victoria-Feser has over 10 years of teaching experience and has written many journal articles.
"About the title" may belong to another edition of this title.
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