Regression Models as a Tool in Medical Research

Author:   Werner Vach
Publisher:   Taylor & Francis Inc
ISBN:  

9781466517486


Pages:   496
Publication Date:   27 November 2012
Format:   Hardback
Availability:   In Print   Availability explained
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Regression Models as a Tool in Medical Research


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Author:   Werner Vach
Publisher:   Taylor & Francis Inc
Imprint:   CRC Press Inc
Dimensions:   Width: 15.60cm , Height: 3.30cm , Length: 23.40cm
Weight:   0.839kg
ISBN:  

9781466517486


ISBN 10:   1466517484
Pages:   496
Publication Date:   27 November 2012
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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The book can be recommended as a useful overview of practical aspects of regression modeling, very suitable for medical researchers who want to apply statistical methods or do apply them already now. It is also very suitable for students of statistics and their teachers. -ISCB News, 59, June 2015 With its focus on conceptual understanding and practical applications, this book is highly recommended to medical and other health science researchers who desire to improve their understanding of regression analysis for a better understanding of medical literature, for the adequate presentation of their own regression outcomes, or for improved interpretation of their results for publications and presentations. ... Additionally, this book can serve as supplemental reading for an applied graduate level course on general regression models. -Journal of Agricultural, Biological, and Environmental Statistics The book can be a very helpful contribution especially for researchers in medical sciences when performing their statistical analyses and trying to interpret the results obtained. ... This book provides plenty of practical knowledge about these basic models and also some of their extensions that is often not easy to find from statistical textbooks or from software manuals. The basic methods are well explained and illustrated by numerous practical examples, mainly using simulated datasets. -Tapio Nummi, International Statistical Review


The book can be recommended as a useful overview of practical aspects of regression modeling, very suitable for medical researchers who want to apply statistical methods or do apply them already now. It is also very suitable for students of statistics and their teachers. -ISCB News, 59, June 2015 With its focus on conceptual understanding and practical applications, this book is highly recommended to medical and other health science researchers who desire to improve their understanding of regression analysis for a better understanding of medical literature, for the adequate presentation of their own regression outcomes, or for improved interpretation of their results for publications and presentations. ... Additionally, this book can serve as supplemental reading for an applied graduate level course on general regression models. -Journal of Agricultural, Biological, and Environmental Statistics The book can be a very helpful contribution especially for researchers in medical sciences when performing their statistical analyses and trying to interpret the results obtained. ... This book provides plenty of practical knowledge about these basic models and also some of their extensions that is often not easy to find from statistical textbooks or from software manuals. The basic methods are well explained and illustrated by numerous practical examples, mainly using simulated datasets. -Tapio Nummi, International Statistical Review


The book can be a very helpful contribution especially for researchers in medical sciences when performing their statistical analyses and trying to interpret the results obtained. ... This book provides plenty of practical knowledge about these basic models and also some of their extensions that is often not easy to find from statistical textbooks or from software manuals. The basic methods are well explained and illustrated by numerous practical examples, mainly using simulated datasets. -Tapio Nummi, International Statistical Review (2013), 81


The book can be recommended as a useful overview of practical aspects of regression modeling, very suitable for medical researchers who want to apply statistical methods or do apply them already now. It is also very suitable for students of statistics and their teachers. -ISCB News, 59, June 2015 With its focus on conceptual understanding and practical applications, this book is highly recommended to medical and other health science researchers who desire to improve their understanding of regression analysis for a better understanding of medical literature, for the adequate presentation of their own regression outcomes, or for improved interpretation of their results for publications and presentations. ... Additionally, this book can serve as supplemental reading for an applied graduate level course on general regression models. -Journal of Agricultural, Biological, and Environmental Statistics The book can be a very helpful contribution especially for researchers in medical sciences when performing their statistical analyses and trying to interpret the results obtained. ... This book provides plenty of practical knowledge about these basic models and also some of their extensions that is often not easy to find from statistical textbooks or from software manuals. The basic methods are well explained and illustrated by numerous practical examples, mainly using simulated datasets. -Tapio Nummi, International Statistical Review


Author Information

Werner Vach is a professor of medical informatics and clinical epidemiology at the University of Freiburg. Dr. Vach has co-authored more than 150 publications in medical journals. His research encompasses biostatistics methodology in the areas of incomplete covariate data, prognostic studies, diagnostic studies, and agreement studies.

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