Design and Analysis of Experiments and Observational Studies using R is popular PDF and ePub book, written by Nathan Taback in 2022-03-10, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Design and Analysis of Experiments and Observational Studies using R can be Read Online from any device for your convenience.
Design and Analysis of Experiments and Observational Studies using R Book PDF Summary
Introduction to Design and Analysis of Scientific Studies exposes undergraduate and graduate students to the foundations of classical experimental design and observational studies through a modern framework - The Rubin Causal Model. A causal inference framework is important in design, data collection and analysis since it provides a framework for investigators to readily evaluate study limitations and draw appropriate conclusions. R is used to implement designs and analyse the data collected. Features: Classical experimental design with an emphasis on computation using tidyverse packages in R. Applications of experimental design to clinical trials, A/B testing, and other modern examples. Discussion of the link between classical experimental design and causal inference. The role of randomization in experimental design and sampling in the big data era. Exercises with solutions. Instructor slides in RMarkdown, a new R package will be developed to be used with book, and a bookdown version of the book will be freely available. The proposed book will emphasize ethics, communication and decision making as part of design, data analysis, and statistical thinking.
Detail Book of Design and Analysis of Experiments and Observational Studies using R PDF
- Author : Nathan Taback
- Release : 10 March 2022
- Publisher : CRC Press
- ISBN : 9781000554199
- Genre : Mathematics
- Total Page : 329 pages
- Language : English
- PDF File Size : 11,7 Mb
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