Description:
Causal Inference in Pharmaceutical Statistics introduces the basic concepts and fundamental methods of causal inference relevant to pharmaceutical statistics. This book covers causal thinking for different types of commonly used study designs in the pharmaceutical industry.
Review Quotes:
"This book can serve as a reference for experienced statisticians interested in extending their research to semiparametric efficiency theory and incorporating machine learning approaches into their causal methodology, as well as an introductory resource for graduate students in statistics, bio-statistics, or data science interested in causal inference and applications to pharmacy."
-Ashley L. Buchanan in the Journal of the American Statistical Association, July 2025.