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taback n design analysis experiments r 2022

Type:: E-books
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Uploaded On:: April 25, 2022, 8:05 a.m.
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Textbook in PDF format 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

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taback n design analysis experiments r 2022