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Design and Analysis of Experiments and Observational Studies using R (Chapman & Hall/CRC Texts in Statistical Science)

By: Nathan Taback (Author)

Manufacture on Demand

Ksh 22,800.00

Format: Hardback or Cased Book

ISBN-10: 0367456850

ISBN-13: 9780367456856

Collection / Series: Chapman & Hall/CRC Texts in Statistical Science

Collection Type: Publisher collection

Publisher: Taylor & Francis Ltd

Imprint: Chapman & Hall/CRC

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Apr 27th, 2022

Publication Status: Active

Product extent: 292 Pages

Weight: 582.00 grams

Dimensions (height x width x thickness): 16.20 x 24.00 x 2.50 cms

Product Classification / Subject(s): Probability & statistics

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It exposes students to the foundations of classical experimental design and observational studies through a modern framework. 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.

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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