Design and Analysis of Experiments and Observational Studies Using R

✍ Scribed by Nathan Taback

Publisher: CRC Press
Year: 2022
Tongue: English
Leaves: 293
Series: Texts in Statistical Science
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Dedication
Contents
List of Tables
List of Figures
Symbols and Abbreviations
Preface
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
Bibliography
Index

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