Design and Analysis of Experiments and Observational Studies using R, Hardback

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
• Publication date: 2022
• Dimensions: 162 x 240 x 25
• Cover type: Hardback