Design And Analysis Of Experiments And Observational Studies Using R (Chapman & Hall/Crc Texts In Statistical Science)

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.

• | Author: Nathan Taback
• | Publisher: Chapman and Hall/CRC
• | Publication Date: Apr 27, 2022
• | Number of Pages: 292 pages
• | Language: English
• | Binding: Hardcover
• | ISBN-10: 0367456850
• | ISBN-13: 9780367456856