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商品詳細
Design and Analysis of Experiments and Observational Studies using R.
・ISBN 978-0-367-45685-6 hard GB£ 103.99
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電子版あり 大学・学術機関向け電子ブック（eBook）ISBN 978-1-003-03369-1
| 著者・編者 | Taback, Nathan, |
|---|---|
| シリーズ | Chapman & Hall/CRC Texts in Statistical Science |
| 出版社 | (Chapman & Hall/CRC, UK) |
| 出版年月 | 2022 |
| ページ数 | 292 pp. |
| 言語 | ENG |
| ニュース番号 | ＜M25-3068＞ |
解説
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.