Design and Analysis of Experiments and Observational Studies using R - Couverture rigide

Taback, Nathan

Couverture rigide

ISBN 10 : 0367456850 ISBN 13 : 9780367456856

Editeur : Chapman and Hall/CRC, 2022

Synopsis

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.

A propos du livre

À propos de l?auteur

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

Détails de l'édition

• Éditeur: Chapman and Hall/CRC
• Date d'édition: 2022
• Langue: anglais
• ISBN 10: 0367456850
• ISBN 13: 9780367456856
• Reliure: Relié
• Nombre de pages: 270
• Coordonnées du fabricant: non disponible
• Personne responsable: gpsr@libri.de; gpsr@libri.de; ; Friedensallee 273; Hamburg; 22763; Allemagne