The ideal reader for this book will be quantitatively literate and has a basic understanding of statistical concepts and R programming. The student should have a basic understanding of statistical inference such as contained in https://leanpub.com/LittleInferenceBook/. The book gives a rigorous treatment of the elementary concepts of regression models from a practical perspective. After reading the book and watching the associated videos, students will be able to perform multivariable regression models and understand their interpretations.
Brian Caffo is a professor in the Department of Biostatistics at the Johns Hopkins University Bloomberg School of Public Health. He coleads a working group, www.smart-stats.org, that focuses on the statistical analysis of imaging and biosignals. He is the recipient of the Presidential Early Career Award for Scientists and Engineers and was named a fellow of the American Statistical Association.
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