Overview
- Offers an easily accessible and comprehensive introduction to model-based statistical inference
- Provides real-world applications in biology, medicine and epidemiology with programming examples in the open-source software R
- Includes exercises at the end of each chapter, for which solutions are available on the website
- Includes a comprehensive appendix covering the necessary mathematical background and various R-programming tips
Part of the book series: Statistics for Biology and Health (SBH)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (10 chapters)
Keywords
About this book
Reviews
Authors and Affiliations
About the authors
Leonhard Held is a Full Professor of Biostatistics, Director of the Master’s Program in Biostatistics and Chair of the Center for Reproducible Science at the University of Zurich, Switzerland. He has published several books and numerous articles on statistical methodology, applied statistics and biomedical research and teaches undergraduate and graduate-level courses in Biostatistics and Medical Statistics.
Daniel Sabanés Bové completed his PhD in Statistics at the University of Zurich under the supervision of Leonhard Held. He started his career as a biostatistician in oncology drug development at Hoffmann-La Roche in 2013, and has been a data scientist at Google since 2018.
Bibliographic Information
Book Title: Likelihood and Bayesian Inference
Book Subtitle: With Applications in Biology and Medicine
Authors: Leonhard Held, Daniel Sabanés Bové
Series Title: Statistics for Biology and Health
DOI: https://doi.org/10.1007/978-3-662-60792-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag GmbH Germany, part of Springer Nature 2020
Hardcover ISBN: 978-3-662-60791-6Published: 01 April 2020
Softcover ISBN: 978-3-662-60794-7Published: 01 April 2021
eBook ISBN: 978-3-662-60792-3Published: 31 March 2020
Series ISSN: 1431-8776
Series E-ISSN: 2197-5671
Edition Number: 2
Number of Pages: XIII, 402
Number of Illustrations: 84 b/w illustrations
Topics: Statistics for Life Sciences, Medicine, Health Sciences, Statistical Theory and Methods, Biostatistics, Bayesian Inference, Theoretical Ecology/Statistics, Genetics and Population Dynamics