Overview
- Covers applied statistical methods in a concise and easily accessible way
- Examines real-world examples, not just mathematical derivations
- Includes valuable review exercises and appendices
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About this book
This book covers methods of applied statistics for researchers who design and conduct experiments, perform statistical inference, and write technical reports. These research activities rely on an adequate knowledge of applied statistics. The reader both builds on basic statistics skills and learns to apply it to applicable scenarios without over-emphasis on the technical aspects. Demonstrations are a very important part of this text. Mathematical expressions are exhibited only if they are defined or intuitively comprehensible.
This text may be used as a guidebook for applied researchers or as an introductory statistical methods textbook for students, not majoring in statistics. Discussion includes essential probability models, inference of means, proportions, correlations and regressions, methods for censored survival time data analysis, and sample size determination.Keywords
Table of contents (10 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
About the author
Hang Lee has over twenty years of experience applying statistical methods to study design and data analysis in collaborative medical research setting, as well as, on academic. He received his PhD from University of Southern California Department of Preventive Medicine, received a post-doctoral training at Harvard Department of Biostatistics, has held faculty appointments at UCLA School of Medicine and Harvard Medical School, and currently is a biostatistics faculty member at Massachusetts General Hospital and Harvard Medical School in Boston, Massachusetts, USA
Bibliographic Information
Book Title: Foundations of Applied Statistical Methods
Authors: Hang Lee
DOI: https://doi.org/10.1007/978-3-031-42296-6
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-42295-9Published: 23 November 2023
Softcover ISBN: 978-3-031-42298-0Due: 24 December 2023
eBook ISBN: 978-3-031-42296-6Published: 22 November 2023
Edition Number: 2
Number of Pages: X, 187
Number of Illustrations: 115 b/w illustrations
Topics: Statistics for Life Sciences, Medicine, Health Sciences, Statistical Theory and Methods, Statistics, general