Overview
- Highlights similarities between regression models for quantitative, binary and survival time outcomes through construction of a linear predictor and emphasizes interpretation of effects and reparametrizations
- Includes worked examples from authors' more than thirty years in biostatistics, showing that model building must be driven by the specific research question
- Accompanied by Web pages documenting analyses using R, SAS, and STATA code
- Includes supplementary material: sn.pub/extras
Part of the book series: Statistics for Biology and Health (SBH)
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Table of contents (8 chapters)
Reviews
From the reviews:
“Specific orientation is emphasized as early as page 3 where three examples are discussed, one with a quantitative response, one with a binary response, and one with a survival time response. … This book is extremely well written and the 171 excellent diagrams produced by Therese Graversen enhance it. … In summary, this book is excellent and fully appropriate for the target audience.” (Norman R. Draper, International Statistical Review, Vol. 79 (2), 2011)
“The monograph belongs to the series of Statistics for Biology and Health, and is written by the internationally recognized experts in applied statistics from the University of Copenhagen, Denmark. … There are exercises in each chapter, where consideration is performed meticulously, giving ready-to-use tools for practical regression numerical modeling and analysis. … The book is especially useful for researchers who apply regressions to solve practical problems and want to extract real meaning from the obtained models.” (Stan Lipovetsky, Technometrics, Vol. 53 (3), August, 2011)
Authors and Affiliations
About the authors
Bibliographic Information
Book Title: Regression with Linear Predictors
Authors: Per Kragh Andersen, Lene Theil Skovgaard
Series Title: Statistics for Biology and Health
DOI: https://doi.org/10.1007/978-1-4419-7170-8
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media LLC 2010
Hardcover ISBN: 978-1-4419-7169-2Published: 23 July 2010
Softcover ISBN: 978-1-4614-2627-1Published: 05 September 2012
eBook ISBN: 978-1-4419-7170-8Published: 15 July 2010
Series ISSN: 1431-8776
Series E-ISSN: 2197-5671
Edition Number: 1
Number of Pages: IX, 494
Topics: Statistical Theory and Methods, Statistics for Life Sciences, Medicine, Health Sciences