Description:
Observational studies are common in most fields that study the effects of treatments on people. This book is both an introduction to statistical inference in observational studies and a discussion of the principles guiding the design of observational studies.
Review Quotes:
"References are listed after each chapter ... reflecting the wealth of his contribution to the subject of causal inference over the last four decades. ... The book is a comprehensive account of methods for comparing treatments in an observational study, rich with detailed illustrations using data for inferences of substance in education, epidemiology, economics and clinical medicine. ... this is an absolute `must' for reading and reference for every statistician who works with observational studies ... ." (Nicholas T. Longford, Mathematical Reviews, April, 2022)
"This book is readily usable for self-study, a graduate seminar, or use by a practitioner getting their bearings in the field. The book is filled with references to both foundational work and cutting-edge approaches. ... the book was an easy read. Rosenbaum provides practical advice, delivered in a conversational tone, and steers clear of theweeds that might bog a reader down in the main text. steers clear of the weeds that might bog a reader down in the main text." (Sara Stoudt, MAA Reviews, July 24, 2021)