Overview
- Compiles commonly used regression methods that are essential for graduate students, applied data science, and related
- Offers a step-by-step implementation linear and multilevel regressions with normal and non-normal data and the application of R
- Features data and computer programs so that readers can replicate and implement newly learned methods
Part of the book series: Emerging Topics in Statistics and Biostatistics (ETSB)
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Table of contents (10 chapters)
Keywords
About this book
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Authors and Affiliations
About the authors
Dr. Ding-Geng Chen is a fellow of the American Statistical Association and currently the Wallace H. Kuralt Distinguished Professor at the University of North Carolina at Chapel Hill. He was a professor in biostatistics at the University of Rochester and the Karl E. Peace Endowed Eminent Scholar Chair in biostatistics at Georgia Southern University. He is also a senior statistics consultant for biopharmaceutical organizations and government agencies with extensive expertise in Monte Carlo simulations, clinical trial biostatistics, and public health statistics. Dr. Chen has more than 200 professional publications, and he has coauthored/coedited 31 books on clinical trial methodology, meta-analysis, data sciences, Monte Carlo simulation-based statistical modeling, and public health applications. He has been invited nationally and internationally to give speeches on his research.
Ms. Jenny K. Chen graduated with a master's degree from the Department of Statistics and Data Science at Cornell University. She is currently working as a financial analyst at Morgan Stanley (Midtown New York Office) for their Wealth Management division. Previously, Jenny worked as a product manager for Google, where she led a team of data scientists to develop several prediction algorithms for the 2019 NCAA March Madness Basketball Tournament. She has published several research papers in statistical modeling and data analytics.
Bibliographic Information
Book Title: Statistical Regression Modeling with R
Book Subtitle: Longitudinal and Multi-level Modeling
Authors: Ding-Geng (Din) Chen, Jenny K. Chen
Series Title: Emerging Topics in Statistics and Biostatistics
DOI: https://doi.org/10.1007/978-3-030-67583-7
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 2021
Hardcover ISBN: 978-3-030-67582-0Published: 09 April 2021
Softcover ISBN: 978-3-030-67585-1Published: 10 April 2022
eBook ISBN: 978-3-030-67583-7Published: 08 April 2021
Series ISSN: 2524-7735
Series E-ISSN: 2524-7743
Edition Number: 1
Number of Pages: XVII, 228
Number of Illustrations: 45 b/w illustrations
Topics: Statistical Theory and Methods, Applied Statistics, Professional Computing