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.
Publisher: Taylor & Francis Ltd
Author(s): Nathan (University of Toronto, Canada) Taback
Number of pages: 292
Collection: Chapman & Hall/CRC Texts in Statistical Science