The ideal reader for this book will be quantitatively literate and has a basic understanding of statistical concepts and R programming. The book gives a rigorous treatment of the elementary concepts in statistical inference from a classical frequentist perspective. After reading this book and performing the exercises, the student will understand the basics of hypothesis testing, confidence intervals and probability. Check out the status of the book at github https://github.com/bcaffo/LittleInferenceBook
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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