Design and Analysis of Experiments and Observational Studies using R - Rilegato

Taback, Nathan

Rilegato

ISBN 10: 0367456850 ISBN 13: 9780367456856

Casa editrice: Chapman and Hall/CRC, 2022

Riassunto

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.

Su questo libro

Informazioni sull?autore

Nathan Taback is Associate Professor of Statistics and Data Science at University of Toronto.

Dettagli dell'edizione

• Editore: Chapman and Hall/CRC
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 0367456850
• ISBN 13: 9780367456856
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 292
• Contatto del produttore: Taylor and Francis, GPSR Taylor and Francis; gpsr@taylorandfrancis.com; ; Taylor & Francis Verlag GmbH, Kaufingerstraße 24; München; 80331; Germania