1st Edition
Design and Analysis of Experiments and Observational Studies using R
By Nathan Taback
Copyright 2022
292 Pages
49 B/W Illustrations
by
Chapman & Hall
292 Pages
49 B/W Illustrations
by
Chapman & Hall
Also available as eBook on:
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... Read more
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
Biography
Nathan Taback is Associate Professor of Statistics and Data Science at University of Toronto.
