Design and Analysis of Experiments and Observational Studies using R

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.

Auteur

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