Nathan Taback

Design and Analysis of Experiments and Observational Studies using R (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 292
• Erscheinungstermin: 10. März 2022
• Englisch
• ISBN-13: 9781000554199
• Artikelnr.: 63726328

Autorenporträt

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

Inhaltsangabe

1 Introduction 2 Mathematical Statistics: Simulation and Computation 3 Comparing Two Treatments 4 Power and Sample Size 5 Comparing More Than Two Treatments 6 Factorial Designs at Two Levels - 2k Designs 7 Causal Inference